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+-0.019235529005527496`, 0.017840726301074028`, + 0.034077078104019165`, -0.021598584949970245`, \ +-2.7357177714293357`*^-6, 0.00007941598596516997, 0.025015240535140038`, + 0.016936512663960457`, + 0.022585932165384293`, -0.0043120114132761955`, \ +-0.00005119055276736617, -0.004715451970696449, + 0.02317872829735279, -0.022635214030742645`, + 0.018542399629950523`, -0.021665742620825768`, \ +-0.019114013761281967`, -0.025653814896941185`}]], "Parameters" -> + Association[ + "OutputDimensions" -> {50}, "$OutputSize" -> 50, + "$InputSize" -> 50, "$InputDimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "4" -> + Association[ + "Type" -> "Elementwise", "Arrays" -> Association[], + "Parameters" -> + Association["Function" -> NeuralNetworks`ValidatedParameter[ + NeuralNetworks`Private`ScalarFunctionObject[{ + NeuralNetworks`Private`ScalarSymbol[1]}, + NeuralNetworks`Private`ScalarSymbol[2], + Association[ + NeuralNetworks`Private`ScalarSymbol[2] -> { + "ScaledExponentialLinearUnit", + NeuralNetworks`Private`ScalarSymbol[1]}]]], + "$Dimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "5" -> + Association[ + "Type" -> "Linear", "Arrays" -> + Association["Weights" -> CompressedData[" +1:eJwtl3k0lu/zx63Z96UsJdmXkN1zX1eWVkpFpaKUdkulaC8lW6SSIiKylTWy +Pc99X/NQSIiUaJHIVhJRFKH8Pt9zfn/MnDPn/efMvOY96ruPuO7n4+HhCRD+ +L7l6nbQ/dszr9MY5/yv2efmZmfr9TzT9/9DYX49sVdqQle1etkdfMXeuzwKy +7q4Iwp6qWGX3H/TF4T6SeJkJirQSFe5bhhKElFgypmvh8ct46uAfP/pYMofd +oKyE+ltnESe6FullzKNifgSzz9w9bkPP/EMNU1VI72w0erP8Ijq78yv6NPYb +hVueBNuaTuSlLYCt2vlxoU4z6t1VAptqQtBNR/GyN91n6RV2/vA7/ClJv49h +pl4eu+jNYze/ukOZrVgLU6/r0L1JXpiQ5scLhTOQ6M8Z1Fm7DIQ1z8Ho+ccc 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"Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "4" -> + Association[ + "Type" -> "Elementwise", "Arrays" -> Association[], + "Parameters" -> + Association[ + "Function" -> NeuralNetworks`ValidatedParameter[ + NeuralNetworks`Private`ScalarFunctionObject[{ + NeuralNetworks`Private`ScalarSymbol[1]}, + NeuralNetworks`Private`ScalarSymbol[2], + Association[ + NeuralNetworks`Private`ScalarSymbol[2] -> { + "ScaledExponentialLinearUnit", + NeuralNetworks`Private`ScalarSymbol[1]}]]], + "$Dimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "5" -> + Association[ + "Type" -> "Linear", "Arrays" -> + Association["Weights" -> CompressedData[" +1:eJwtl3k0lu/zx63Z96UsJdmXkN1zX1eWVkpFpaKUdkulaC8lW6SSIiKylTWy +Pc99X/NQSIiUaJHIVhJRFKH8Pt9zfn/MnDPn/efMvOY96ruPuO7n4+HhCRD+ 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17.470703250000003`, 5.482422, 27.412109499999993`, + 22.431640749999996`}, + "StandardDeviation" -> {0.2020710554792159, + 0.0004041454062390855, 11.546917286796724`, + 5.773458643398362, 0.0004041454062390853, + 4.330093981703037, 4.330093981703017, 2.598056392066481, + 12.990281950183537`, 10.10355262510141}, "Output" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]]]], + "FinalDimension" -> 10, "Method" -> "Linear"], + "PerformanceGoal" -> Automatic, "Invertibility" -> + "Approximate", "Log" -> + Association[ + "TrainingTime" -> 0.008773, "MaxTrainingMemory" -> 119912, + "DataMemory" -> 20600, "FunctionMemory" -> 23024, + "LanguageVersion" -> {12., 0}, "Date" -> + DateObject[{ + 2019, 9, 9, 16, 17, 4.081864`7.363433518818057}, + "Instant", "Gregorian", 1.], "ProcessorCount" -> 4, + "ProcessorType" -> "x86-64", "OperatingSystem" -> + "MacOSX", "SystemWordLength" -> 64, + "Evaluations" -> {}]]][#, "ImputedVectors", + PerformanceGoal -> "Quality"]& ), "Method" -> + "DimensionReduction", "VectorLength" -> 10, "Output" -> + Association[ + "(f1f2f3f4f5f6f7f8f9f10)" -> + Association["Type" -> "NumericalVector", "Weight" -> 10]], + "Type" -> "NumericalVector", "Version" -> {12., 0}, "ID" -> + 7607846277109504165]], + MachineLearning`MLProcessor["Standardize", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Allowed", "Input" -> + Association[ + "(f1f2f3f4f5f6f7f8f9f10)" -> + Association["Type" -> "NumericalVector", "Weight" -> 10]], + "Mean" -> {0.448632875, 0.00089726953125, 59.921875, + 64.9609375, 0.0008972695312500001, 17.47070325, + 17.470703250000003`, 5.482422, 27.412109499999993`, + 22.431640749999996`}, + "StandardDeviation" -> {0.2020710554792159, + 0.0004041454062390855, 11.546917286796724`, + 5.773458643398362, 0.0004041454062390853, 4.330093981703037, + 4.330093981703017, 2.598056392066481, 12.990281950183537`, + 10.10355262510141}, "Output" -> + Association[ + "(f1f2f3f4f5f6f7f8f9f10)" -> + Association["Type" -> "NumericalVector", "Weight" -> 10]], + "Version" -> {12., 0}, "ID" -> 7793122219627961317]]}, + "Invertibility" -> "Perfect", "Missing" -> "Imputed"]]], "Output" -> + Association[ + "Preprocessor" -> MachineLearning`MLProcessor["ToMLDataset", + Association[ + "Input" -> Association["f1" -> Association["Type" -> "Numerical"]], + "Output" -> + Association[ + "f1" -> Association["Type" -> "Numerical", "Weight" -> 1]], + "Preprocessor" -> MachineLearning`MLProcessor["Sequence", + Association["Processors" -> { + MachineLearning`MLProcessor["List"], + MachineLearning`MLProcessor["WrapMLDataset", + Association[ + "FeatureTypes" -> {"Numerical"}, "FeatureKeys" -> {"f1"}, + "FeatureWeights" -> Automatic, "ExampleWeights" -> + Automatic, "RawExample" -> + Missing["KeyAbsent", "RawExample"]]]}]], "ScalarFeature" -> + True, "Invertibility" -> "Perfect", "Missing" -> "Allowed"]], + "Processor" -> MachineLearning`MLProcessor["Sequence", + Association[ + "Input" -> Association[ + "f1" -> Association["Type" -> "Numerical", "Weight" -> 1]], + "Output" -> + Association[ + "f1" -> Association["Type" -> "Numerical", "Weight" -> 1]], + "Processors" -> { + MachineLearning`MLProcessor["ToVector", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Allowed", "Input" -> + Association[ + "f1" -> Association["Type" -> "Numerical", "Weight" -> 1]], + "Output" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], + "Version" -> {12., 0}, "ID" -> 7082490132628351137]], + MachineLearning`MLProcessor["Standardize", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Allowed", "Input" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], + "Mean" -> {11.924204701435547`}, + "StandardDeviation" -> {7.9853048508218905`}, "Output" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], + "Version" -> {12., 0}, "ID" -> 8268089309108881241]], + MachineLearning`MLProcessor["FromVector", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Allowed", "Input" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], "Output" -> + Association[ + "f1" -> Association["Type" -> "Numerical", "Weight" -> 1]], + "Version" -> {12., 0}, "ID" -> 2127063183722447433]], + MachineLearning`MLProcessor["FirstValues", + Association[ + "Info" -> Association["Type" -> "Numerical", "Weight" -> 1], + "Key" -> "f1", "Invertibility" -> "Perfect", "Missing" -> + "Allowed"]]}, "Invertibility" -> "Perfect", "Missing" -> + "Allowed"]], "ProbabilityPostprocessor" -> Identity, + "InverseProcessorFunction" -> (11.924204701435547` + + 7.9853048508218905` #& ), + "ProcessorFunction" -> (-1.493268563216875 + + 0.12523003425436846` #& ), "Name" -> "value", + "Quantiles" -> {-1.3745433463452335`, 3.4544441075064625`}], "Prior" -> + Automatic, "Utility" -> (DiracDelta[#2 - #]& ), "Threshold" -> 0, + "PerformanceGoal" -> Automatic, "BatchProcessing" -> Automatic, + "Model" -> Association[ + AssumeDeterministic -> False, "EstimationMethod" -> + "MaximumPosterior", "NominalCovarianceType" -> "HammingDistance", + "NumericalCovarianceType" -> "SquaredExponential", + "OptimizationMethod" -> Automatic, "TrainedGPModel" -> + Association[ + "CovarianceFunction" -> + Association[ + Method -> "SquaredExponential" + "WN", "HyperParameters" -> { + Association[ + "NumericalLengthScale" -> 3.4283061266297357`, + "SignalVariance" -> 0.7744493993692891, "NoiseVariance" -> + 0.004627929742745547], + Association[ + "NumericalLengthScale" -> 3.4283061266297357`, + "SignalVariance" -> 0.7744493993692891, "NoiseVariance" -> + 0.004627929742745547]}], "MeanFunction" -> Association[], + "Purpose" -> Association["task" -> "FunctionOptimization"], + "TrainingData" -> {CompressedData[" +1:eJwNl3c4l30Uxs2ySqFQaamQUXYSx5ZEaYpISalo8SqS2aSyS5Jo2CJkNBx7 +K3vvzc/47UW8/nj+fK7r+T7fc+7789lx6dYJJy4ODo6GlUdg5dGz23ff+HMZ 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0.0027912731748074293`, -0.0019562970846891403`, \ +-0.02172730304300785, -0.015567727386951447`, -0.03791506215929985, + 0.027579737827181816`, + 0.019920501857995987`, -0.03850894793868065, \ +-0.019235529005527496`, 0.017840726301074028`, + 0.034077078104019165`, -0.021598584949970245`, \ +-2.7357177714293357`*^-6, 0.00007941598596516997, 0.025015240535140038`, + 0.016936512663960457`, + 0.022585932165384293`, -0.0043120114132761955`, \ +-0.00005119055276736617, -0.004715451970696449, + 0.02317872829735279, -0.022635214030742645`, + 0.018542399629950523`, -0.021665742620825768`, \ +-0.019114013761281967`, -0.025653814896941185`}]], "Parameters" -> + Association[ + "OutputDimensions" -> {50}, "$OutputSize" -> 50, + "$InputSize" -> 50, "$InputDimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "4" -> + Association[ + 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0.00007941598596516997, 0.025015240535140038`, + 0.016936512663960457`, + 0.022585932165384293`, -0.0043120114132761955`, \ +-0.00005119055276736617, -0.004715451970696449, + 0.02317872829735279, -0.022635214030742645`, + 0.018542399629950523`, -0.021665742620825768`, \ +-0.019114013761281967`, -0.025653814896941185`}]], "Parameters" -> + Association[ + "OutputDimensions" -> {50}, "$OutputSize" -> 50, + "$InputSize" -> 50, "$InputDimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "4" -> + Association[ + "Type" -> "Elementwise", "Arrays" -> Association[], + "Parameters" -> + Association[ + "Function" -> NeuralNetworks`ValidatedParameter[ + NeuralNetworks`Private`ScalarFunctionObject[{ + NeuralNetworks`Private`ScalarSymbol[1]}, + NeuralNetworks`Private`ScalarSymbol[2], + Association[ + NeuralNetworks`Private`ScalarSymbol[2] -> { + "ScaledExponentialLinearUnit", + NeuralNetworks`Private`ScalarSymbol[1]}]]], + "$Dimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "5" -> + Association[ + "Type" -> "Linear", "Arrays" -> + Association["Weights" -> CompressedData[" +1:eJwtl3k0lu/zx63Z96UsJdmXkN1zX1eWVkpFpaKUdkulaC8lW6SSIiKylTWy +Pc99X/NQSIiUaJHIVhJRFKH8Pt9zfn/MnDPn/efMvOY96ruPuO7n4+HhCRD+ +L7l6nbQ/dszr9MY5/yv2efmZmfr9TzT9/9DYX49sVdqQle1etkdfMXeuzwKy +7q4Iwp6qWGX3H/TF4T6SeJkJirQSFe5bhhKElFgypmvh8ct46uAfP/pYMofd +oKyE+ltnESe6FullzKNifgSzz9w9bkPP/EMNU1VI72w0erP8Ijq78yv6NPYb +hVueBNuaTuSlLYCt2vlxoU4z6t1VAptqQtBNR/GyN91n6RV2/vA7/ClJv49h +pl4eu+jNYze/ukOZrVgLU6/r0L1JXpiQ5scLhTOQ6M8Z1Fm7DIQ1z8Ho+ccc +tXUY7znoRwpf02B5sxXW7iYgmFdIeLuN8Oe/F6nnUhbwrO0TceIbRedtI4G6 +9Jh0Veym1/8IApHFDXCDtR8WhBhAXOBv+ksPl0y4a8C1SjPI8XpPjpo9g5U/ 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"Missing" -> "Allowed", "Input" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], + "Mean" -> {11.924204701435547`}, + "StandardDeviation" -> {7.9853048508218905`}, "Output" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], + "Version" -> {12., 0}, "ID" -> 8268089309108881241]], + MachineLearning`MLProcessor["FromVector", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Allowed", "Input" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], "Output" -> + Association[ + "f1" -> Association["Type" -> "Numerical", "Weight" -> 1]], + "Version" -> {12., 0}, "ID" -> 2127063183722447433]], + MachineLearning`MLProcessor["FirstValues", + Association[ + "Info" -> Association["Type" -> "Numerical", "Weight" -> 1], + "Key" -> "f1", "Invertibility" -> "Perfect", "Missing" -> + "Allowed"]]}, "Invertibility" -> "Perfect", "Missing" -> + "Allowed"]], "ProbabilityPostprocessor" 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-0.06620146334171295, \ +-0.01786288060247898, + 0.01238368172198534, -0.021559791639447212`, \ +-0.031560029834508896`, + 0.04412636160850525, -0.04154464602470398, \ +-0.008439877070486546, 0.007290222216397524, + 0.0283963643014431, -0.022416958585381508`, + 0.03530960902571678}]], "Parameters" -> + Association[ + "OutputDimensions" -> {50}, "$OutputSize" -> 50, + "$InputSize" -> 50, "$InputDimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "4" -> + Association[ + "Type" -> "Elementwise", "Arrays" -> Association[], + "Parameters" -> + Association["Function" -> NeuralNetworks`ValidatedParameter[ + NeuralNetworks`Private`ScalarFunctionObject[{ + NeuralNetworks`Private`ScalarSymbol[1]}, + NeuralNetworks`Private`ScalarSymbol[2], + Association[ + NeuralNetworks`Private`ScalarSymbol[2] -> { + "ScaledExponentialLinearUnit", + NeuralNetworks`Private`ScalarSymbol[1]}]]], + "$Dimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "5" -> + Association[ + "Type" -> "Linear", "Arrays" -> + Association["Weights" -> CompressedData[" +1:eJwtV2lUj43TrpASWVopRSiVJVtU90ypJFookuxbmxZLlAptQpJIKSpUhFSW +JPW7Z2xFC5G1TbYQHpGQpfL6n/N+mDlnzpwzH2auua6Z4avWOXvISElJBcj9 +c84rg6Zv3LgyeJ7s/wL3lb6TJvr+Lznx/y220BEP2YzgApXN3LPzmrBAsS82 +vgvDnrnd1P/7HQo9q06y5t2wd5kPzQ1NQOkSafyetwE/9zDF3DHy+EtoJQX/ +2Xj/0F/Rc9tjkq5OZSnHWjEK5uGU5vOw+v58GnbAEDwC3fiYTR9huI8an025 +IT53P8tprcC6beUw9rASt4y1E9Ia1Ph23Cz8+eozWDR5c6HVDaic7ylYKIVA +udk3gqnrKSUpVXwkZcX1em0w6N48DHwRLgT7asLLEmWa/z0R3zchLlevE0pd +90nCHvcWYjzKTc81MqxS6YsFP7Pwx7D5vPV6HH0zaKGrPrdFYbs/fBKUoWHa +QHy09zzojYyG6LavFNoSQIobivjk9C90+YQtNvpGwu24aRSeFSUm7pkH+gLS +MWM3YZ7SDwiQrqaNx9QlrTZv6da9Fhj0vEO49jSStnedpbELL5v5BpwSd+RK 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-0.06620146334171295, \ +-0.01786288060247898, + 0.01238368172198534, -0.021559791639447212`, \ +-0.031560029834508896`, + 0.04412636160850525, -0.04154464602470398, \ +-0.008439877070486546, 0.007290222216397524, + 0.0283963643014431, -0.022416958585381508`, + 0.03530960902571678}]], "Parameters" -> + Association[ + "OutputDimensions" -> {50}, "$OutputSize" -> 50, + "$InputSize" -> 50, "$InputDimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "4" -> + Association[ + "Type" -> "Elementwise", "Arrays" -> Association[], + "Parameters" -> + Association[ + "Function" -> NeuralNetworks`ValidatedParameter[ + NeuralNetworks`Private`ScalarFunctionObject[{ + NeuralNetworks`Private`ScalarSymbol[1]}, + NeuralNetworks`Private`ScalarSymbol[2], + Association[ + NeuralNetworks`Private`ScalarSymbol[2] -> { + "ScaledExponentialLinearUnit", + NeuralNetworks`Private`ScalarSymbol[1]}]]], + "$Dimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "5" -> + Association[ + "Type" -> "Linear", "Arrays" -> + Association["Weights" -> CompressedData[" +1:eJwtV2lUj43TrpASWVopRSiVJVtU90ypJFookuxbmxZLlAptQpJIKSpUhFSW +JPW7Z2xFC5G1TbYQHpGQpfL6n/N+mDlnzpwzH2auua6Z4avWOXvISElJBcj9 +c84rg6Zv3LgyeJ7s/wL3lb6TJvr+Lznx/y220BEP2YzgApXN3LPzmrBAsS82 +vgvDnrnd1P/7HQo9q06y5t2wd5kPzQ1NQOkSafyetwE/9zDF3DHy+EtoJQX/ +2Xj/0F/Rc9tjkq5OZSnHWjEK5uGU5vOw+v58GnbAEDwC3fiYTR9huI8an025 +IT53P8tprcC6beUw9rASt4y1E9Ia1Ph23Cz8+eozWDR5c6HVDaic7ylYKIVA +udk3gqnrKSUpVXwkZcX1em0w6N48DHwRLgT7asLLEmWa/z0R3zchLlevE0pd +90nCHvcWYjzKTc81MqxS6YsFP7Pwx7D5vPV6HH0zaKGrPrdFYbs/fBKUoWHa +QHy09zzojYyG6LavFNoSQIobivjk9C90+YQtNvpGwu24aRSeFSUm7pkH+gLS +MWM3YZ7SDwiQrqaNx9QlrTZv6da9Fhj0vEO49jSStnedpbELL5v5BpwSd+RK 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NeuralNetworks`RealT]]], "3" -> + Association[ + "Type" -> "Linear", "Arrays" -> + Association["Weights" -> CompressedData[" +1:eJwtd3lUjt33d/M8p0kqpSh5DM3d194UlaFCZRbJN+URIkNEpoRGpSJEKZUU +JRru69pHyhQqQ2RukDFEKcpDXr+13j/OWeusc/44e5/zmUyXh/kGS0lISGxQ ++Dv5Bka4hocHbvWT+7/FisDVtjar/2/T5v+P6s8uTF7zCmvX+sObfDrEXNZt +o6DbXsIiQQ+dl7rhnGdO9G2bLYQH7oPkRZ8g9xZPW02jyWCEHItqPoXfN+qJ +Jl7/AwvsOmFMnxHZ2FqjU+Qq+KzUBWuju4VPjg9h1oUXlGaZAOgYwQ6cLRRX +74nDgahgbNZOpGNto/GwUAL6SfUgf2UTc/1ihqrrZdHokQK6NgCNtXak408t +MDNaFcf7lkJTuQJ9rrfBsoHvXHNTMosrs8abHQ64whpQuycBpYsXC3uMDaDl +ewFEthjC5BulNLHgLVXO0MXHttfo4umLNPenIUmrHqLmMVqYJKzkqvt/06NX +6c41cjfoWOhQtllpM9i4Mnr/2ZW+PTRjS0M1sCtLhpmNmCaaNruK3kpfgCux +ywXLHjO2oU6X2c6bDGaiX+Sn/pBUtmynL+JaPNN7nWQ07Kko3Jotea2PE8wn +wpQEY7a+7x717cqjabfD4OTkatJKTiWXKkPQPafD1s9roynnzNmOwTBWU3uS +N1Maw345FdOrS5l06uNyDNt5AI9OWUxjelK4xrstXPmNqTAQU0X/WiTTl+Fx +1OmsgLv+NInlRvnjzh0IqavLha85a9F+2iVQ/mmOG9IzaPF2C1y604j8j1hA +HK/CdFODBctbQ7Cg4TcY53gKqz6OxODGQpDM6IXQFAn2o8YBtVJfgqvdEkg5 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NeuralNetworks`RealT]]], "4" -> + Association[ + "Type" -> "Elementwise", "Arrays" -> Association[], + "Parameters" -> + Association["Function" -> NeuralNetworks`ValidatedParameter[ + NeuralNetworks`Private`ScalarFunctionObject[{ + NeuralNetworks`Private`ScalarSymbol[1]}, + NeuralNetworks`Private`ScalarSymbol[2], + Association[ + NeuralNetworks`Private`ScalarSymbol[2] -> { + "ScaledExponentialLinearUnit", + NeuralNetworks`Private`ScalarSymbol[1]}]]], + "$Dimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "5" -> + Association[ + "Type" -> "Linear", "Arrays" -> + Association["Weights" -> CompressedData[" +1:eJwtlnlUTe/7v5tnNCnNk1RSaTrn7L2fB0XJVBlKA0lCUhSSIaU0o3lQUZEG +EU3n7LP38xzKPOSdVAgpCZG5NBjy+3zX+v1x32vd67Ve/93rWpdR0O412yTE +xMT2yv1vrdkc7bRnz+aDa2X+79i6OczeLuz/Qrv/PyOrxSmtXUl4RYe8aF0E 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NeuralNetworks`Private`ScalarFunctionObject[{ + NeuralNetworks`Private`ScalarSymbol[1]}, + NeuralNetworks`Private`ScalarSymbol[2], + Association[ + NeuralNetworks`Private`ScalarSymbol[2] -> { + "ScaledExponentialLinearUnit", + NeuralNetworks`Private`ScalarSymbol[1]}]]], + "$Dimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "7" -> + Association[ + "Type" -> "Linear", "Arrays" -> + Association["Weights" -> CompressedData[" +1:eJwtl3k0ld/bxk0Zy1xJJJR5Hs5xnmdv0UglokioRMiQpL5pNpdZGmggUoYG +s3OcZ9+PSEkjUYZUGiSlQdGo4e231vvH3mvtda+1/7j3dV/7c2lvjHQPEhMR +EYmW/re5++903LbNf5eH5P8Om/zDra3C/1e0+v81eawe7VfYTekp5aPIzgxy +m3uD69IiBbfi+6kbp+SQKngir3snqRe55UhrTbt10gt1XmjjbcpVMIqy1fW5 +78QFCP8Xj3Y/OkkZJx+mQmakkhiJO8wdoy/khl4iUfqyHyWub2fqteYQX9qU +7JtoR1oXDiFbzSLyTcWTcLpsyLuxKDTRak+/zASU8UMOROfuIAUva9HAqWpk 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0.00910088513046503, 0.0687805637717247, + 0.0015707957791164517`, + 0.0068336534313857555`, -0.002750701503828168, + 0.002830501878634095, + 0.013376284390687943`, -0.02609276957809925, + 0.005612525623291731, 0.02457987703382969, + 0.010721131227910519`, + 0.007278119679540396, -0.021674705669283867`, \ +-0.14777450263500214`, -0.032417237758636475`, 0.022630376741290092`, + 0.008248263038694859, 0.003166722832247615, + 0.015109188854694366`, 0.024048104882240295`, + 0.03354097530245781, 0.014902896247804165`, + 0.010345704853534698`, -0.004041378851979971, \ +-0.0033224921207875013`, + 0.0573309101164341, -0.023433538153767586`, \ +-0.008536714129149914, 0.030543915927410126`, + 0.05923435837030411, -0.02077609859406948, + 0.00035595003282651305`, -0.024816591292619705`, + 0.0022005848586559296`, + 0.00331287132576108, -0.04804574325680733}]], + "Parameters" -> + Association[ + "OutputDimensions" -> {50}, "$OutputSize" -> 50, + "$InputSize" -> 10, "$InputDimensions" -> {10}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{10}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "2" -> + Association[ + "Type" -> "Elementwise", "Arrays" -> Association[], + "Parameters" -> + Association[ + "Function" -> NeuralNetworks`ValidatedParameter[ + NeuralNetworks`Private`ScalarFunctionObject[{ + NeuralNetworks`Private`ScalarSymbol[1]}, + NeuralNetworks`Private`ScalarSymbol[2], + Association[ + NeuralNetworks`Private`ScalarSymbol[2] -> { + "ScaledExponentialLinearUnit", + NeuralNetworks`Private`ScalarSymbol[1]}]]], + "$Dimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "3" -> + Association[ + "Type" -> "Linear", "Arrays" -> + Association["Weights" -> CompressedData[" 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-> Association[], + "Parameters" -> + Association[ + "Function" -> NeuralNetworks`ValidatedParameter[ + NeuralNetworks`Private`ScalarFunctionObject[{ + NeuralNetworks`Private`ScalarSymbol[1]}, + NeuralNetworks`Private`ScalarSymbol[2], + Association[ + NeuralNetworks`Private`ScalarSymbol[2] -> { + "ScaledExponentialLinearUnit", + NeuralNetworks`Private`ScalarSymbol[1]}]]], + "$Dimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "5" -> + Association[ + "Type" -> "Linear", "Arrays" -> + Association["Weights" -> CompressedData[" +1:eJwtlnlUTe/7v5tnNCnNk1RSaTrn7L2fB0XJVBlKA0lCUhSSIaU0o3lQUZEG +EU3n7LP38xzKPOSdVAgpCZG5NBjy+3zX+v1x32vd67Ve/93rWpdR0O412yTE +xMT2yv1vrdkc7bRnz+aDa2X+79i6OczeLuz/Qrv/PyOrxSmtXUl4RYe8aF0E +B7twmni9PifpTT/tYe4VPagcr8AYvCeBmJMJ8rjYyQYurWGORCiIllUD6qdu 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NeuralNetworks`Private`ScalarSymbol[2], + Association[ + NeuralNetworks`Private`ScalarSymbol[2] -> { + "ScaledExponentialLinearUnit", + NeuralNetworks`Private`ScalarSymbol[1]}]]], + "$Dimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "7" -> + Association[ + "Type" -> "Linear", "Arrays" -> + Association["Weights" -> CompressedData[" +1:eJwtl3k0ld/bxk0Zy1xJJJR5Hs5xnmdv0UglokioRMiQpL5pNpdZGmggUoYG +s3OcZ9+PSEkjUYZUGiSlQdGo4e231vvH3mvtda+1/7j3dV/7c2lvjHQPEhMR +EYmW/re5++903LbNf5eH5P8Om/zDra3C/1e0+v81eawe7VfYTekp5aPIzgxy +m3uD69IiBbfi+6kbp+SQKngir3snqRe55UhrTbt10gt1XmjjbcpVMIqy1fW5 +78QFCP8Xj3Y/OkkZJx+mQmakkhiJO8wdoy/khl4iUfqyHyWub2fqteYQX9qU +7JtoR1oXDiFbzSLyTcWTcLpsyLuxKDTRak+/zASU8UMOROfuIAUva9HAqWpk +sK8DuYSdRo6v3ODZHBb9XNaBpm2vZCTgKNq+NZAsnbuKu0r/ALNAIQWat+Ty +XSeFwIwuC9SnosVPdw9GjFwdD6cJyOQMeah4HkeFMNthw8TFGu3zerT477O8 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{Left, Top}, + "ClosingActions" -> { + "SelectionDeparture", "ParentChanged", + "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> + Automatic, Method -> "Preemptive"], + Hue[0.08, 0.9, 0.8], Editable -> False, Selectable -> + False], ",", + RowBox[{"AbsolutePointSize", "[", "6", "]"}]}], "]"}], ",", + RowBox[{"Directive", "[", + RowBox[{ + InterpretationBox[ + ButtonBox[ + TooltipBox[ + GraphicsBox[{{ + GrayLevel[0], + RectangleBox[{0, 0}]}, { + GrayLevel[0], + RectangleBox[{1, -1}]}, { + Hue[0.11, 1, 0.75], + RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> + "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, + FrameStyle -> Hue[0.11, 1., 0.5], FrameTicks -> None, + PlotRangePadding -> None, ImageSize -> + Dynamic[{ + Automatic, 1.35 CurrentValue["FontCapHeight"]/ + AbsoluteCurrentValue[Magnification]}]], + StyleBox[ + RowBox[{"Hue", "[", + RowBox[{"0.11`", ",", "1", ",", "0.75`"}], "]"}], + NumberMarks -> False]], Appearance -> None, + BaseStyle -> {}, 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"f6" -> + Association["Type" -> "Numerical", "Weight" -> 1], "f7" -> + Association["Type" -> "Numerical", "Weight" -> 1], "f8" -> + Association["Type" -> "Numerical", "Weight" -> 1], "f9" -> + Association["Type" -> "Numerical", "Weight" -> 1], "f10" -> + Association["Type" -> "Numerical", "Weight" -> 1]], "Output" -> + Association[ + "(f1f2f3f4f5f6f7f8f9f10)" -> + Association["Type" -> "NumericalVector", "Weight" -> 10]], + "Processors" -> { + MachineLearning`MLProcessor["ToVector", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Allowed", "Input" -> + Association[ + "f1" -> Association["Type" -> "Numerical", "Weight" -> 1], + "f2" -> Association["Type" -> "Numerical", "Weight" -> 1], + "f3" -> Association["Type" -> "Numerical", "Weight" -> 1], + "f4" -> Association["Type" -> "Numerical", "Weight" -> 1], + "f5" -> Association["Type" -> "Numerical", "Weight" -> 1], + "f6" -> Association["Type" -> "Numerical", "Weight" -> 1], + "f7" -> Association["Type" -> "Numerical", 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"Processor" -> + MachineLearning`MLProcessor["Identity"], "Padder" -> + MachineLearning`MLProcessor["Identity"], "PostProcessor" -> + MachineLearning`MLProcessor["FromMLDataset", + Association[ + "DatasetFormat" -> Automatic, "Input" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], "Output" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Length" -> 2]], + "InversePreprocessor" -> + MachineLearning`MLProcessor["Sequence", + Association["Processors" -> { + MachineLearning`MLProcessor["List"], + MachineLearning`MLProcessor["WrapMLDataset", + Association[ + "FeatureTypes" -> {"NumericalVector"}, + "FeatureKeys" -> {"f1"}, "FeatureWeights" -> {1}, + "ExampleWeights" -> 1]]}]], "ScalarFeature" -> True, + "Invertibility" -> "Perfect", "Missing" -> "Allowed"]], + "Model" -> + Association[ + "Matrix" -> {{-0.3276761082491606, -0.1600516143543659}, \ +{-0.3203580158680654, -0.34839931831623605`}, {-0.3299435154554578, \ 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MachineLearning`MLProcessor["ToVector", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Allowed", "Input" -> + Association[ + "f1" -> Association["Type" -> "Numerical", "Weight" -> 1]], + "Output" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], + "Version" -> {12., 0}, "ID" -> 4745144267127480850]], + MachineLearning`MLProcessor["Standardize", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Allowed", "Input" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], + "Mean" -> {11.83882649412305}, + "StandardDeviation" -> {4.967776835981614}, "Output" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], + "Version" -> {12., 0}, "ID" -> 8291028904583568482]], + MachineLearning`MLProcessor["FromVector", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Allowed", "Input" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", 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TypeSystem`NestedGrid`PackagePrivate`tmpData$]]; If[ + Not[ + FailureQ[TypeSystem`NestedGrid`PackagePrivate`tmpGrid$]], + TypeSystem`NestedGrid`PackagePrivate`renderedGrid = + TypeSystem`NestedGrid`PackagePrivate`tmpGrid$]; Null]]; + TypeSystem`NestedGrid`PackagePrivate`initialQ = False; + TypeSystem`NestedGrid`PackagePrivate`$pos$$; If[ + FailureQ[ + TypeSystem`NestedGrid`PackagePrivate`renderedGrid], + TypeSystem`SparseGrid[ + TypeSystem`H["(data no longer present)"]], + If[GeneralUtilities`$DebugMode, + + Row[{TypeSystem`NestedGrid`PackagePrivate`renderedGrid, + " ", + TypeSystem`NestedGrid`PackagePrivate`formatState[ + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`$path$$, + TypeSystem`NestedGrid`PackagePrivate`$pos$$]}], + TypeSystem`NestedGrid`PackagePrivate`renderedGrid]]], + TrackedSymbols :> { + TypeSystem`NestedGrid`PackagePrivate`$pos$$}], + DynamicModuleValues :> {}], + TypeSystem`NestedGrid`PackagePrivate`$posCell$$, + 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GrayLevel[0.4], StripOnInput -> False]}, + "RowDefault"], + TemplateBox[{"153.`","\"kB\"","kilobytes","\"Kilobytes\""}, + "Quantity"]}, + { + + TemplateBox[{ + TemplateBox[{5}, "Spacer1"],StyleBox[ + "\"Training examples used\"", + GrayLevel[0.4], StripOnInput -> False]}, + "RowDefault"], + TemplateBox[{"1024","\"examples\"","examples","\"Examples\""}, + "Quantity"]}, + { + + TemplateBox[{ + TemplateBox[{5}, "Spacer1"],StyleBox["\"Training time\"", + GrayLevel[0.4], StripOnInput -> False]}, + "RowDefault"], + TemplateBox[{"487.`","\"ms\"","milliseconds","\"Milliseconds\""}, + "Quantity"]}, + { + ItemBox[ + + DynamicModuleBox[{ + MachineLearning`file12Panel`PackagePrivate`pos$$ = 1}, + DynamicBox[ToBoxes[ + Show[ + Part[{ + Graphics[{{{}, {{{}, {}, { + Hue[0.67, 0.6, 0.6], + Directive[ + PointSize[0.012833333333333334`], + RGBColor[0.368417, 0.506779, 0.709798], + AbsoluteThickness[1.6]], + + Line[{{2.302585092994046, 1.2511630234315423`}, { + 3.6888794541139363`, 1.170627558781576}, { 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Association["f1" -> Association["Type" -> "Numerical"]], + "Output" -> + Association[ + "f1" -> Association["Type" -> "Numerical", "Weight" -> 1]], + "Preprocessor" -> MachineLearning`MLProcessor["Sequence", + Association["Processors" -> { + MachineLearning`MLProcessor["List"], + MachineLearning`MLProcessor["WrapMLDataset", + Association[ + "FeatureTypes" -> {"Numerical"}, "FeatureKeys" -> {"f1"}, + "FeatureWeights" -> Automatic, "ExampleWeights" -> Automatic, + "RawExample" -> Missing["KeyAbsent", "RawExample"]]]}]], + "ScalarFeature" -> True, "Invertibility" -> "Perfect", "Missing" -> + "Allowed"]], "Processor" -> MachineLearning`MLProcessor["Sequence", + Association[ + "Input" -> Association[ + "f1" -> Association["Type" -> "Numerical", "Weight" -> 1]], + "Output" -> + Association[ + "f1" -> Association["Type" -> "Numerical", "Weight" -> 1]], + "Processors" -> { + MachineLearning`MLProcessor["ToVector", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Allowed", "Input" 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MachineLearning`MLProcessor["ImputeMissing", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Imputed", "Input" -> + Association[ + "(f1f2f3f4f5f6f7f8f9f10)" -> + Association["Type" -> "NumericalVector", "Weight" -> 10]], + "Imputer" -> (DimensionReducerFunction[ + Association[ + "ExampleNumber" -> 1024, "Imputer" -> + MachineLearning`MLProcessor["ImputeMissing", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Imputed", + "Input" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], + "Fill" -> {0.2796777392578126, 0.0005271865234375, + 52.870788718750056`, 61.58554077148438, + 0.0005677041015625001, 14.972457890625002`, + 14.973373421875007`, 3.513244671875002, + 14.700088531249994`, 11.927108796874997`}, "Method" -> + "Naive", "VectorLength" -> 10, "Output" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], "Type" -> + "NumericalVector"]], "RandomImputer" -> + MachineLearning`MLProcessor["ImputeMissing", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Imputed", + "Input" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], + "Mean" -> {0.2796777392578126, 0.0005271865234375, + 52.870788718750056`, 61.58554077148438, + 0.0005677041015625001, 14.972457890625002`, + 14.973373421875007`, 3.513244671875002, + 14.700088531249994`, 11.927108796874997`}, + "StandardDeviation" -> {0.13916505400539858`, + 0.00027497007183386305`, 8.223770466882957, + 4.058118472494025, 0.00028209573075695793`, + 3.0511082239432916`, 3.0541221072964295`, + 1.8071593721969825`, 4.955067246881081, + 3.539589152710669}, "Method" -> "NaiveSampler", + "VectorLength" -> 10, "Output" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], "Type" -> + "NumericalVector"]], "Preprocessor" -> + MachineLearning`MLProcessor["ToMLDataset", + Association[ + "Input" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Length" -> 10]], "Output" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], + "Preprocessor" -> + MachineLearning`MLProcessor["Sequence", + Association["Processors" -> { + MachineLearning`MLProcessor["List"], + MachineLearning`MLProcessor["WrapMLDataset", + Association[ + "FeatureTypes" -> {"NumericalVector"}, + "FeatureKeys" -> {"f1"}, "FeatureWeights" -> Automatic, + "ExampleWeights" -> Automatic, "RawExample" -> + Missing["KeyAbsent", "RawExample"]]]}]], "ScalarFeature" -> + True, "Invertibility" -> "Perfect", "Missing" -> + "Allowed"]], "Processor" -> + MachineLearning`MLProcessor["Identity"], "Padder" -> + MachineLearning`MLProcessor["Identity"], "PostProcessor" -> + MachineLearning`MLProcessor["FromMLDataset", + Association[ + "DatasetFormat" -> Automatic, "Input" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], "Output" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Length" -> 2]], + "InversePreprocessor" -> + MachineLearning`MLProcessor["Sequence", + Association["Processors" -> { + MachineLearning`MLProcessor["List"], + MachineLearning`MLProcessor["WrapMLDataset", + Association[ + "FeatureTypes" -> {"NumericalVector"}, + "FeatureKeys" -> {"f1"}, "FeatureWeights" -> {1}, + "ExampleWeights" -> 1]]}]], "ScalarFeature" -> True, + "Invertibility" -> "Perfect", "Missing" -> "Allowed"]], + "Model" -> + Association[ + "Matrix" -> {{-0.3276761082491606, -0.1600516143543659}, \ +{-0.3203580158680654, -0.34839931831623605`}, {-0.3299435154554578, \ +-0.07896654671732593}, {-0.32800850906771756`, -0.05694823140259113}, \ +{-0.32677188016830633`, -0.15524137067885596`}, {-0.3275226360965635, \ +-0.04754731767932377}, {-0.3272773797580204, -0.05820182114158242}, \ +{-0.3267654332090106, -0.14043751686075037`}, {-0.2698440424068895, + 0.6289082227511319}, {-0.26980349636618317`, + 0.6312893534822637}}, "Processor" -> + MachineLearning`MLProcessor["Standardize", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Allowed", + "Input" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], + "Mean" -> {0.2796777392578126, 0.0005271865234375, + 52.870788718750056`, 61.58554077148438, + 0.0005677041015625001, 14.972457890625002`, + 14.973373421875007`, 3.513244671875002, + 14.700088531249994`, 11.927108796874997`}, + "StandardDeviation" -> {0.13916505400539858`, + 0.00027497007183386305`, 8.223770466882957, + 4.058118472494025, 0.00028209573075695793`, + 3.0511082239432916`, 3.0541221072964295`, + 1.8071593721969825`, 4.955067246881081, + 3.539589152710669}, "Output" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]]]], + "FinalDimension" -> 2, "Method" -> "Linear"], + "PerformanceGoal" -> Automatic, "Invertibility" -> + "Approximate", "Log" -> + Association[ + "TrainingTime" -> 0.010702, "MaxTrainingMemory" -> 283096, + "DataMemory" -> 82072, "FunctionMemory" -> 22512, + "LanguageVersion" -> {12., 0}, "Date" -> + DateObject[{ + 2019, 9, 6, 16, 57, 42.015992`8.37598959942245}, + "Instant", "Gregorian", 1.], "ProcessorCount" -> 4, + "ProcessorType" -> "x86-64", "OperatingSystem" -> + "MacOSX", "SystemWordLength" -> 64, + "Evaluations" -> {}]]][#, "ImputedVectors", + PerformanceGoal -> "Quality"]& ), "Method" -> + "DimensionReduction", "VectorLength" -> 10, "Output" -> + Association[ + "(f1f2f3f4f5f6f7f8f9f10)" -> + Association["Type" -> "NumericalVector", "Weight" -> 10]], + "Type" -> "NumericalVector", "Version" -> {12., 0}, "ID" -> + 7607846277109504165]], + MachineLearning`MLProcessor["Standardize", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Allowed", "Input" -> + Association[ + "(f1f2f3f4f5f6f7f8f9f10)" -> + Association["Type" -> "NumericalVector", "Weight" -> 10]], + "Mean" -> {0.2796777392578126, 0.0005271865234375, + 52.870788718750056`, 61.58554077148438, + 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MachineLearning`MLProcessor["List"], + MachineLearning`MLProcessor["WrapMLDataset", + Association[ + "FeatureTypes" -> {"Numerical"}, "FeatureKeys" -> {"f1"}, + "FeatureWeights" -> Automatic, "ExampleWeights" -> + Automatic, "RawExample" -> + Missing["KeyAbsent", "RawExample"]]]}]], "ScalarFeature" -> + True, "Invertibility" -> "Perfect", "Missing" -> "Allowed"]], + "Processor" -> MachineLearning`MLProcessor["Sequence", + Association[ + "Input" -> Association[ + "f1" -> Association["Type" -> "Numerical", "Weight" -> 1]], + "Output" -> + Association[ + "f1" -> Association["Type" -> "Numerical", "Weight" -> 1]], + "Processors" -> { + MachineLearning`MLProcessor["ToVector", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Allowed", "Input" -> + Association[ + "f1" -> Association["Type" -> "Numerical", "Weight" -> 1]], + "Output" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], + "Version" -> {12., 0}, "ID" -> 4745144267127480850]], + MachineLearning`MLProcessor["Standardize", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Allowed", "Input" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], + "Mean" -> {11.83882649412305}, + "StandardDeviation" -> {4.967776835981614}, "Output" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], + "Version" -> {12., 0}, "ID" -> 8291028904583568482]], + MachineLearning`MLProcessor["FromVector", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Allowed", "Input" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], "Output" -> + Association[ + "f1" -> Association["Type" -> "Numerical", "Weight" -> 1]], + "Version" -> {12., 0}, "ID" -> 3980093367599694814]], + MachineLearning`MLProcessor["FirstValues", + Association[ + "Info" -> Association["Type" -> "Numerical", "Weight" -> 1], + "Key" -> "f1", "Invertibility" -> "Perfect", "Missing" -> + "Allowed"]]}, "Invertibility" -> "Perfect", "Missing" -> + "Allowed"]], "ProbabilityPostprocessor" -> Identity, + "InverseProcessorFunction" -> (11.83882649412305 + + 4.967776835981614 #& ), + "ProcessorFunction" -> (-2.383123655711427 + + 0.20129728709973416` #& ), "Name" -> "value", + "Quantiles" -> {-1.5322601146230757`, 5.741781909219104}], "Prior" -> + Automatic, "Utility" -> (DiracDelta[#2 - #]& ), "Threshold" -> 0, + "PerformanceGoal" -> Automatic, "BatchProcessing" -> Automatic, + "Model" -> Association[ + "NeighborsFunction" -> + MachineLearning`PackageScope`NeighborsFunction["Nearest", + NearestFunction[ + Hold[ + Nearest[CompressedData[" +1:eJwUmnc4lY8bh0khGkSKrFDJKImS1HMiDSWiKQoJlRIhGkaJMkOJjNJAVsrI +l3jslb1H1uGcYzvb5uf31/nzPdf7PM/nc9/X9W63tDe6tYqDg2M/FwcH38ov +7d/GlwlHZsGiXPRxhckqgsm992lC+zkI794YFu0wZYCan336R+VF2Jofo3jZ +mQlt+rmmtcwl0Fd1Kb8QToO21rqiiHV0SN31/ajlHRY0BNYJr3NJxaMuQmNz +PCWg3SpqV/P1K8q8d+NZ1h6BDdZ2ljOUbnAudc8ulfmNFjGptU98KyHF5Gcf 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-> 0.010751324051651098`, + "ElapsedTimes" -> 0.022625, "ExperimentCounts" -> 1], + Association[ + "TrainingSizes" -> 819, "TimeBudgets" -> 0.05375662025825548, + "ElapsedTimes" -> 0.044911, "ExperimentCounts" -> 1]}, + TypeSystem`Vector[ + + TypeSystem`Struct[{ + "TrainingSizes", "TimeBudgets", "ElapsedTimes", + "ExperimentCounts"}, { + TypeSystem`Atom[Integer], + TypeSystem`Atom[Real], + TypeSystem`Atom[Real], + TypeSystem`Atom[Integer]}], 4], + Association[ + "Origin" -> HoldComplete[GeneralUtilities`AssociationTranspose, + Dataset`DatasetHandle[67714633643398]], "ID" -> + 67718928610694]]], "Log" -> + Association["Example" -> MachineLearning`MLDataset[ + Association[ + "f1" -> Association[ + "Type" -> "Numerical", "Weight" -> 1, "Values" -> {0.123027}, + "ID" -> 4138274046680485544], "f2" -> + Association[ + "Type" -> "Numerical", "Weight" -> 1, "Values" -> {0.000342}, + "ID" -> 8265409593374843343], "f3" -> + Association[ + "Type" -> "Numerical", "Weight" -> 1, "Values" -> {48.138672}, + "ID" -> 4325120889460957860], "f4" -> + Association[ + "Type" -> "Numerical", "Weight" -> 1, "Values" -> {57.612695}, + "ID" -> 7729060115554625173], "f5" -> + Association[ + "Type" -> "Numerical", "Weight" -> 1, "Values" -> {0.000311}, + "ID" -> 5549864947671074505], "f6" -> + Association[ + "Type" -> "Numerical", "Weight" -> 1, "Values" -> {10.842285}, + "ID" -> 3911755470612032304], "f7" -> + Association[ + "Type" -> "Numerical", "Weight" -> 1, "Values" -> {12.687988}, + "ID" -> 6529991689636232870], "f8" -> + Association[ + "Type" -> "Numerical", "Weight" -> 1, "Values" -> {1.911133}, + "ID" -> 2480907588058646444], "f9" -> + Association[ + "Type" -> "Numerical", "Weight" -> 1, "Values" -> {11.442871}, + "ID" -> 6913754141872085100], "f10" -> + Association[ + "Type" -> "Numerical", "Weight" -> 1, "Values" -> {7.600098}, + "ID" -> 2221450074082333099]], + Association[ + "ExampleNumber" -> 1, "ExampleWeights" -> 1, "LogDensityRatios" -> + 0, "RawExample" -> False]], "TrainingTime" -> 0.500745, + "MaxTrainingMemory" -> 3135616, "DataMemory" -> 369672, + "FunctionMemory" -> 215160, "LanguageVersion" -> {12., 0}, "Date" -> + DateObject[{2019, 9, 6, 16, 57, 42.48574`8.380818164730691}, + "Instant", "Gregorian", 1.], "ProcessorCount" -> 4, + "ProcessorType" -> "x86-64", "OperatingSystem" -> "MacOSX", + "SystemWordLength" -> 64, "Evaluations" -> {}]]], "TestSet" -> + Association["Input" -> CompressedData[" +1:eJxFXHV8FUcXDe4UKUUKURyKJMRl5r0Xg2K7cQrFCsX1I0CR4g4pBFoILqW4 +W3ApLsXdnwYv7nyvc8/dfP98Pzb7Ts89586dmTu769Oht94pr4eHh8zj4VHU +/f81sw9V9+9vFY/ndR6ZPj5RePz3vwsJ8uXtCnlHPNNkqKXv0bkfk0XVjlvf +/VokmK7vC5SL3xwp5VHXi/7dPlpWMJ/58GVLiOx391K/n5c7REK1E7f1MymE +l6nTfb/p8uLOEt32bU0gvJwQur4wWJ4d0rGwxze+0rWnYX6PfOGyuI/z06/v +TfJqbMS108XtYmzOkBIH+qYRXgD4SV32KOT3usiiVMJ7B37rgwgv2Y/+/a8k +fl8HyGK/9C6eR7qEd/sKG2y1kwnvhUb3LdJkwV/3zf4uLYnwKgbR9YwQwrvs +Tf8+F0d4iVHAswnWSeEtBV4XXbKuCm868ILBL92H4u0fRfF2sEjywylYJ4Vn 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10}, PlotRangePadding -> None, + ImagePadding -> Automatic, + BaselinePosition -> (Scaled[0.1] -> Baseline)], #}}, + GridBoxAlignment -> { + "Columns" -> {Center, Left}, "Rows" -> {{Baseline}}}, + AutoDelete -> False, + GridBoxDividers -> { + "Columns" -> {{False}}, "Rows" -> {{False}}}, + GridBoxItemSize -> { + "Columns" -> {{All}}, "Rows" -> {{All}}}, + GridBoxSpacings -> { + "Columns" -> {{0.5}}, "Rows" -> {{0.8}}}], "Grid"]}}, + GridBoxAlignment -> { + "Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> + False, GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + GridBoxSpacings -> {"Columns" -> {{1}}, "Rows" -> {{0}}}], + "Grid"], Alignment -> Left, AppearanceElements -> None, + ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> + "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { + FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> + False]& ), InterpretationFunction :> (RowBox[{"LineLegend", "[", + RowBox[{ + RowBox[{"{", + RowBox[{"Directive", "[", + RowBox[{ + InterpretationBox[ + ButtonBox[ + TooltipBox[ + GraphicsBox[{{ + GrayLevel[0], + RectangleBox[{0, 0}]}, { + GrayLevel[0], + RectangleBox[{1, -1}]}, { + GrayLevel[0.2], + RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> + "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, + FrameStyle -> GrayLevel[0.13333333333333336`], FrameTicks -> + None, PlotRangePadding -> None, ImageSize -> + Dynamic[{ + Automatic, 1.35 CurrentValue["FontCapHeight"]/ + AbsoluteCurrentValue[Magnification]}]], + StyleBox[ + RowBox[{"GrayLevel", "[", "0.2`", "]"}], NumberMarks -> + False]], Appearance -> None, BaseStyle -> {}, + BaselinePosition -> Baseline, DefaultBaseStyle -> {}, + ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, + If[ + Not[ + AbsoluteCurrentValue["Deployed"]], + SelectionMove[Typeset`box$, All, Expression]; + FrontEnd`Private`$ColorSelectorInitialAlpha = 1; + FrontEnd`Private`$ColorSelectorInitialColor = + GrayLevel[0.2]; + FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; + MathLink`CallFrontEnd[ + FrontEnd`AttachCell[Typeset`box$, + FrontEndResource["GrayLevelColorValueSelector"], { + 0, {Left, Bottom}}, {Left, Top}, + "ClosingActions" -> { + "SelectionDeparture", "ParentChanged", + "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> + Automatic, Method -> "Preemptive"], + GrayLevel[0.2], Editable -> False, Selectable -> False], + ",", + RowBox[{"Opacity", "[", "0.5`", "]"}], ",", + RowBox[{"AbsoluteThickness", "[", "1.`", "]"}], ",", + RowBox[{"AbsoluteDashing", "[", + RowBox[{"{", + RowBox[{"2", ",", "4"}], "}"}], "]"}]}], "]"}], "}"}], + ",", + RowBox[{"{", #, "}"}], ",", + RowBox[{"LegendMarkers", "\[Rule]", "None"}], ",", + RowBox[{"LabelStyle", "\[Rule]", + RowBox[{"{", "}"}]}], ",", + RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}]}], "]"}]& ), + Editable -> True], TraditionalForm]}}, + GridBoxAlignment -> {"Columns" -> {{Left}}}, AutoDelete -> False, + GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + GridBoxSpacings -> {"Columns" -> {{0}}}], "Grid"], TraditionalForm]}, + "Legended", + DisplayFunction->(GridBox[{{ + TagBox[ + ItemBox[ + PaneBox[ + TagBox[#, "SkipImageSizeLevel"], Alignment -> {Center, Baseline}, + BaselinePosition -> Baseline], DefaultBaseStyle -> "Labeled"], + "SkipImageSizeLevel"], + ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}}, + GridBoxAlignment -> {"Columns" -> {{Center}}, "Rows" -> {{Center}}}, + AutoDelete -> False, GridBoxItemSize -> Automatic, + BaselinePosition -> {1, 1}]& ), + Editable->True, + InterpretationFunction->(RowBox[{"Legended", "[", + RowBox[{#, ",", + RowBox[{"Placed", "[", + RowBox[{#2, ",", "After"}], "]"}]}], "]"}]& )]], "Output", + CellChangeTimes->{3.746529794616091*^9, 3.776774263748899*^9}, + CellLabel-> + "Out[772]=",ExpressionUUID->"6d5c8761-517b-4fba-b9dd-b425c9166361"], + +Cell[BoxData[ + GraphicsBox[{{}, GraphicsComplexBox[CompressedData[" 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9, 6, 16, 58, 0.861097`6.687627065342922}, + "Instant", "Gregorian", 1.], "ProcessorCount" -> 4, + "ProcessorType" -> "x86-64", "OperatingSystem" -> "MacOSX", + "SystemWordLength" -> 64, "Evaluations" -> {}]]], "TestSet" -> + Association["Input" -> CompressedData[" +1:eJxFXHV8FUcXDe4UKUUKURyKJMRl5r0Xg2K7cQrFCsX1I0CR4g4pBFoILqW4 +W3ApLsXdnwYv7nyvc8/dfP98Pzb7Ts89586dmTu769Oht94pr4eHh8zj4VHU +/f81sw9V9+9vFY/ndR6ZPj5RePz3vwsJ8uXtCnlHPNNkqKXv0bkfk0XVjlvf +/VokmK7vC5SL3xwp5VHXi/7dPlpWMJ/58GVLiOx391K/n5c7REK1E7f1MymE +l6nTfb/p8uLOEt32bU0gvJwQur4wWJ4d0rGwxze+0rWnYX6PfOGyuI/z06/v +TfJqbMS108XtYmzOkBIH+qYRXgD4SV32KOT3usiiVMJ7B37rgwgv2Y/+/a8k +fl8HyGK/9C6eR7qEd/sKG2y1kwnvhUb3LdJkwV/3zf4uLYnwKgbR9YwQwrvs +Tf8+F0d4iVHAswnWSeEtBV4XXbKuCm868ILBL92H4u0fRfF2sEjywylYJ4Vn +hX7HNMm6Kry+0K88+L1GvBVjid+YcPln2SLLs67ZBcel8CzAq6BL1kHhjYR+ +cYGEt82X/r3STPxmSPiRI1h3hTcafuzQJfuk8BYH0vUa8DfIm+LNDCZ+tkA5 +zav21NnXrGLwoH9G2gvD3+7gN0WTbX9P71YvGP6ehn79od8RH/r3aRPxW2cG 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{{Automatic}}}, + GridBoxSpacings -> {"Columns" -> {{1}}, "Rows" -> {{0}}}], + "Grid"], Alignment -> Left, AppearanceElements -> None, + ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> + "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { + FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> + False]& ), InterpretationFunction :> (RowBox[{"LineLegend", "[", + RowBox[{ + RowBox[{"{", + RowBox[{"Directive", "[", + RowBox[{ + InterpretationBox[ + ButtonBox[ + TooltipBox[ + GraphicsBox[{{ + GrayLevel[0], + RectangleBox[{0, 0}]}, { + GrayLevel[0], + RectangleBox[{1, -1}]}, { + GrayLevel[0.2], + RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> + "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, + FrameStyle -> GrayLevel[0.13333333333333336`], FrameTicks -> + None, PlotRangePadding -> None, ImageSize -> + Dynamic[{ + Automatic, 1.35 CurrentValue["FontCapHeight"]/ + AbsoluteCurrentValue[Magnification]}]], + StyleBox[ + RowBox[{"GrayLevel", "[", "0.2`", "]"}], NumberMarks -> + False]], Appearance -> None, BaseStyle -> {}, + BaselinePosition -> Baseline, DefaultBaseStyle -> {}, + ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, + If[ + Not[ + AbsoluteCurrentValue["Deployed"]], + SelectionMove[Typeset`box$, All, Expression]; + FrontEnd`Private`$ColorSelectorInitialAlpha = 1; + FrontEnd`Private`$ColorSelectorInitialColor = + GrayLevel[0.2]; + FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; + MathLink`CallFrontEnd[ + FrontEnd`AttachCell[Typeset`box$, + FrontEndResource["GrayLevelColorValueSelector"], { + 0, {Left, Bottom}}, {Left, Top}, + "ClosingActions" -> { + "SelectionDeparture", "ParentChanged", + "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> + Automatic, Method -> "Preemptive"], + GrayLevel[0.2], Editable -> False, Selectable -> False], + ",", + RowBox[{"Opacity", "[", "0.5`", "]"}], ",", + RowBox[{"AbsoluteThickness", "[", "1.`", "]"}], ",", + RowBox[{"AbsoluteDashing", "[", + RowBox[{"{", + RowBox[{"2", ",", "4"}], "}"}], "]"}]}], "]"}], "}"}], + ",", + RowBox[{"{", #, "}"}], ",", + RowBox[{"LegendMarkers", "\[Rule]", "None"}], ",", + RowBox[{"LabelStyle", "\[Rule]", + RowBox[{"{", "}"}]}], ",", + RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}]}], "]"}]& ), + Editable -> True], TraditionalForm]}}, + GridBoxAlignment -> {"Columns" -> {{Left}}}, AutoDelete -> False, + GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + GridBoxSpacings -> {"Columns" -> {{0}}}], "Grid"], TraditionalForm]}, + "Legended", + DisplayFunction->(GridBox[{{ + TagBox[ + ItemBox[ + PaneBox[ + TagBox[#, "SkipImageSizeLevel"], Alignment -> {Center, Baseline}, + BaselinePosition -> Baseline], DefaultBaseStyle -> "Labeled"], + "SkipImageSizeLevel"], + ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}}, + GridBoxAlignment -> {"Columns" -> {{Center}}, "Rows" -> {{Center}}}, + AutoDelete -> False, GridBoxItemSize -> Automatic, + BaselinePosition -> {1, 1}]& ), + Editable->True, + InterpretationFunction->(RowBox[{"Legended", "[", + RowBox[{#, ",", + RowBox[{"Placed", "[", + RowBox[{#2, ",", "After"}], "]"}]}], "]"}]& )]], "Output", + CellChangeTimes->{3.7465299805251703`*^9, 3.7767742822124777`*^9}, + CellLabel-> + "Out[777]=",ExpressionUUID->"23e78049-dfe0-49a0-a999-debc2d4ffcd7"], + +Cell[BoxData[ + GraphicsBox[{{}, GraphicsComplexBox[CompressedData[" +1:eJzt2vlbTP3/wPFpnWmfmaZ9mxZ7WqwRnRclIkmSopukiELWsuQelWRLIkQo +tyXhFomIzrFEm4QoqW5LK+37MtVnvtd1XueP+F71i+t5zTlz3u/3jNPpcb2N +fbe6+UuzWCxKhsX6v3+Ba7HksqcK+CWpv3EploW56rnxjgla1Jy/sshn1qbQ +sDd6bqOzOngPdrQejx0gUuxfXlc8I01FzMjVY93Xg6Rh2SMR+ZXkGA2rCVdL +BRC68MVDnwlD5NCFJxmTx+lCLu/tCqcpw0T2DxX2uz4VqNrk/tFTUwj6uosj +Kne0ktq2S7zmhbAh2Mwp9vpzZfAI6VCJkNegRjveUj7YawLJLRRr1Vc+ZFbk +rZ2XMkh4rqrZFnmOC6nRr2o3+UmDbE6HEZ+SgiJKj+2UwwHh1Qvu+ebNZPGa +DofTrzRhge/zE+0FMuCmNtV5YQ0HZtmceiiVJw1lTm0vQn8ogOvm9EV90Ele +ep9SdNBWG2DLie0z3n8hV4ZrdF1z0gbelvW+E3S0wado5xnV4EZCsDngfbur 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0.0020408525597304106`, 0.008014561608433723, + 0.08762508630752563, + 0.0064413039945065975`, -0.02411087602376938, \ +-0.03841931000351906, 0.000551269156858325, -0.014774106442928314`, + 0.020949913188815117`, -0.000547353527508676, \ +-0.005671798717230558, -0.004146140068769455, + 0.024188119918107986`, -0.011958176270127296`, \ +-0.022595835849642754`, 0.023185333237051964`, 0.011368665844202042`, + 0.007968786172568798, 0.0024846107698976994`, + 0.053347837179899216`}]], "Parameters" -> + Association[ + "OutputDimensions" -> {50}, "$OutputSize" -> 50, + "$InputSize" -> 10, "$InputDimensions" -> {10}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{10}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "2" -> + Association[ + "Type" -> "Elementwise", "Arrays" -> Association[], + "Parameters" -> + Association["Function" -> NeuralNetworks`ValidatedParameter[ + NeuralNetworks`Private`ScalarFunctionObject[{ + NeuralNetworks`Private`ScalarSymbol[1]}, + NeuralNetworks`Private`ScalarSymbol[2], + Association[ + NeuralNetworks`Private`ScalarSymbol[2] -> { + "ScaledExponentialLinearUnit", + NeuralNetworks`Private`ScalarSymbol[1]}]]], + "$Dimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "3" -> + Association[ + "Type" -> "Linear", "Arrays" -> + Association["Weights" -> CompressedData[" +1:eJwtl3k0lv/Tx2XfRVlCSoSIJNt9feYSSgmp0PJtoVJSFGknspN9SyWJSosW +hXBfn7lKqJCyVVKJSrs2kdL29Dvn+WPmnDkz/82Z97zeumuDPPxERUREtkn/ +Sx5rdjmEhKzZ4yn5v2L9msAZFoH/a1r8f1hWPuFmPc7DCx+vgcnDHNygMpbr +CRTCyzUGGJAwHiICfhG37QcwY3ADtixYRQYNhqnRiiAorT8En4xW4Ia/JdCk +yIP7XIZWPT0B6leK0Lt8Ipl5vQXuv5gEMZXHifHyd3Sg0xwCvJpo0RJ5NunA +BzwZZgbpQeeY4e/O/JPSS1Tpy3y25kM02Pgnw9LmHBg56UAeuW+ACWU3mPt/ 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-0.0007209982722997665}]], + "Parameters" -> + Association[ + "OutputDimensions" -> {50}, "$OutputSize" -> 50, + "$InputSize" -> 50, "$InputDimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "4" -> + Association[ + "Type" -> "Elementwise", "Arrays" -> Association[], + "Parameters" -> + Association["Function" -> NeuralNetworks`ValidatedParameter[ + NeuralNetworks`Private`ScalarFunctionObject[{ + NeuralNetworks`Private`ScalarSymbol[1]}, + NeuralNetworks`Private`ScalarSymbol[2], + Association[ + NeuralNetworks`Private`ScalarSymbol[2] -> { + "ScaledExponentialLinearUnit", + NeuralNetworks`Private`ScalarSymbol[1]}]]], + "$Dimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "5" -> + Association[ + "Type" -> "Linear", "Arrays" -> + Association["Weights" -> CompressedData[" +1:eJwtl3dYj//3x5saIqEUIbREu/e47/v1SlZKZpEyS7RkVMgotKPSoKXS0CAh +jff7vu/XeTfMSkj2ys4KWQ3E7/O9rt8f51zXuc4/j/PHua7nY9L6ra6+CnJy +cqGq/zVX77CZISHeu92G/G/Y6B1kaxP0v6XN/9ejtjHiVL37yF94GPUbq4nH +LeggJfvrubzfaVCZCURjXCNyN8xEF13fESW3KyTw52Ly3HEjCkJzyZ64NORh +lAv6MQGAh7eQvgJdUFRuIn/nnxabUoug6eNppq/zOVqlPUialu9jNnVWI9bh +LbfOwQuOvlvGyY+6guI7DgOT9JLSCk6AYT9e0+/eZEDD3xesz97R8K/pAomI +1IRbxxIojRc+0FqaAnPpGJQ+4StqvTEBqJU+JCgnDQbWd5AlnquLE4a0lhaE +GZSumFZScIA2L/V6ZjvpckyO0baAhcW7R+aU2riHlZZnW5eqbdhrFBQeVLK+ +J66k/sehksV1pETXcO+U+Or2Em6MnlH3qrNGL43kjVemepaod4LhAb+DJzL3 +x5U+sR9hZHW9vdhuhHbpWGdh6eTvysYamZNP+GwTG9LUTGO5QaMpwV7lRv+m +3zcs7jU0vjxgWDp9al7ZG4mCkdmycqNy3eclo1MTjdbvkhppPjQu7RnZVTJx +Wr5h3tWRpZe6z5YpGydPcUjcDBc/7oM47akgm3hcou7yhT6X70TFzLTBEXfL +4GmbB7TtGA3bNLxxxQYTfDcyCXJUr5DYH8nwe4I6/MQCfPx0D/P5hwn+qHwY +B/oaYJdZ+2Dyx0Zmy6XR/LeECFD6pIETXDdTN33doGhVJXzcZoS/T1kBoale 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+-0.008752958849072456, -0.007606638595461845, + 0.011851510964334011`, -0.03360220044851303, \ +-0.002083725528791547, -0.0062502482905983925`, -0.0024950294755399227`, \ +-0.00816034059971571, -0.07042176276445389, -0.000013847769878339022`, \ +-0.02702905982732773, + 0.014016566798090935`, -0.03244989737868309, \ +-0.014259086921811104`, + 0.00016063479415606707`, -0.0022780452854931355`, \ +-0.009466373361647129, -0.037707969546318054`, -0.0015961467288434505`, \ +-0.011551763862371445`, -0.018719347193837166`, + 0.0024170505348592997`, -0.01304633542895317, \ +-0.00897158682346344, 0.005319502204656601, -0.015442939475178719`, + 0.003470343304798007, 0.005957703571766615, + 0.0042052241042256355`, -0.017458578571677208`, \ +-0.0262819342315197, -0.03332991898059845, + 0.012925670482218266`, -0.01742297038435936, + 0.0017389390850439668`, + 0.0028045193757861853`, -0.007489340379834175, + 0.011538323946297169`, -0.0420372374355793, \ +-0.000757395988330245, 0.0031446092762053013`, -0.0007209982722997665}]], + "Parameters" -> + Association[ + "OutputDimensions" -> {50}, "$OutputSize" -> 50, + "$InputSize" -> 50, "$InputDimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "4" -> + Association[ + "Type" -> "Elementwise", "Arrays" -> Association[], + "Parameters" -> + Association[ + "Function" -> NeuralNetworks`ValidatedParameter[ + NeuralNetworks`Private`ScalarFunctionObject[{ + NeuralNetworks`Private`ScalarSymbol[1]}, + NeuralNetworks`Private`ScalarSymbol[2], + Association[ + NeuralNetworks`Private`ScalarSymbol[2] -> { + "ScaledExponentialLinearUnit", + NeuralNetworks`Private`ScalarSymbol[1]}]]], + "$Dimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "5" -> + Association[ + "Type" -> "Linear", "Arrays" -> + Association["Weights" -> CompressedData[" +1:eJwtl3dYj//3x5saIqEUIbREu/e47/v1SlZKZpEyS7RkVMgotKPSoKXS0CAh +jff7vu/XeTfMSkj2ys4KWQ3E7/O9rt8f51zXuc4/j/PHua7nY9L6ra6+CnJy +cqGq/zVX77CZISHeu92G/G/Y6B1kaxP0v6XN/9ejtjHiVL37yF94GPUbq4nH +LeggJfvrubzfaVCZCURjXCNyN8xEF13fESW3KyTw52Ly3HEjCkJzyZ64NORh +lAv6MQGAh7eQvgJdUFRuIn/nnxabUoug6eNppq/zOVqlPUialu9jNnVWI9bh +LbfOwQuOvlvGyY+6guI7DgOT9JLSCk6AYT9e0+/eZEDD3xesz97R8K/pAomI +1IRbxxIojRc+0FqaAnPpGJQ+4StqvTEBqJU+JCgnDQbWd5AlnquLE4a0lhaE +GZSumFZScIA2L/V6ZjvpckyO0baAhcW7R+aU2riHlZZnW5eqbdhrFBQeVLK+ +J66k/sehksV1pETXcO+U+Or2Em6MnlH3qrNGL43kjVemepaod4LhAb+DJzL3 +x5U+sR9hZHW9vdhuhHbpWGdh6eTvysYamZNP+GwTG9LUTGO5QaMpwV7lRv+m +3zcs7jU0vjxgWDp9al7ZG4mCkdmycqNy3eclo1MTjdbvkhppPjQu7RnZVTJx +Wr5h3tWRpZe6z5YpGydPcUjcDBc/7oM47akgm3hcou7yhT6X70TFzLTBEXfL +4GmbB7TtGA3bNLxxxQYTfDcyCXJUr5DYH8nwe4I6/MQCfPx0D/P5hwn+qHwY +B/oaYJdZ+2Dyx0Zmy6XR/LeECFD6pIETXDdTN33doGhVJXzcZoS/T1kBoale 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TagBox[ + TagBox[ + StyleBox["\"2\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "2"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["Tanh", + GrayLevel[0], StripOnInput -> False], + Annotation[#, {"Nodes", "2"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + "\"array\"", Annotation[#, {"Nodes", "2"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"3\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "3"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "3"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"100\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "3"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"4\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "4"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "4"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"100\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "4"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"5\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "5"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "5"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"100\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "5"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"6\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "6"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "6"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"100\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "6"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"7\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "7"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "7"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"100\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "7"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"8\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "8"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "8"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"100\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "8"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"9\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "9"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "9"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"100\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "9"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"10\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "10"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "10"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"100\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "10"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"11\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "11"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "11"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"100\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "11"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"12\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "12"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["BatchNormalizationLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "12"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"100\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "12"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"13\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "13"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["Tanh", + GrayLevel[0], StripOnInput -> False], + Annotation[#, {"Nodes", "13"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"100\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "13"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"14\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "14"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "14"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"1\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "14"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + "\"\"", Annotation[#, {"Outputs", "Output"}, "Mouse"]& ], + + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + "\"Output\"", + Annotation[#, {"Outputs", "Output"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"1\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Outputs", "Output"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}}, + GridBoxAlignment -> {"Columns" -> {{Left}}}, AutoDelete -> + False, GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + GridBoxSpacings -> {"Columns" -> {{1.1}}}], "Grid"], + If[ + ListQ[ + NeuralNetworks`Private`NetChain`part = MouseAnnotation[]], + If[NeuralNetworks`Private`NetChain`opart === + NeuralNetworks`Private`NetChain`part, + NeuralNetworks`Private`NetChain`selected = Null; + NeuralNetworks`Private`NetChain`opart = Null, + NeuralNetworks`Private`NetChain`selected = + Part[NeuralNetworks`Private`NetChain`assoc3, + Apply[Sequence, NeuralNetworks`Private`NetChain`part]]; + NeuralNetworks`Private`NetChain`opart = + NeuralNetworks`Private`NetChain`part; Null]; Null]]}, + NeuralNetworks`Private`NetChain`fmtSelected[ + NeuralNetworks`Private`NetChain`selected, + NeuralNetworks`Private`NetChain`part, + NeuralNetworks`Private`GetSharedArrays[ + NeuralNetworks`Private`NetChain`assoc3]]}, + GridBoxSpacings -> {"Columns" -> {{1}}}, + GridBoxAlignment -> {"Columns" -> {{Left}}}, + GridFrameMargins -> {{0, 0}, {0, 0}}], + TrackedSymbols :> { + NeuralNetworks`Private`NetChain`selected}], + Initialization :> {NetChain}]}}, BaselinePosition -> + Automatic, + GridBoxAlignment -> { + "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, + GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + GridBoxSpacings -> { + "Columns" -> {{2}}, "Rows" -> {{Automatic}}}]}}, + GridBoxAlignment -> {"Rows" -> {{Top}}}, + GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + GridFrameMargins -> {{0, 0}, {0, 0}}, + BaselinePosition -> {1, 1}]}, + Dynamic[Typeset`open], ImageSize -> 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SelectionMove[Typeset`box$, All, Expression]; + FrontEnd`Private`$ColorSelectorInitialAlpha = 1; + FrontEnd`Private`$ColorSelectorInitialColor = + Hue[0.08, 0.9, 0.8]; + FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; + MathLink`CallFrontEnd[ + FrontEnd`AttachCell[Typeset`box$, + FrontEndResource["HueColorValueSelector"], { + 0, {Left, Bottom}}, {Left, Top}, + "ClosingActions" -> { + "SelectionDeparture", "ParentChanged", + "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> + Automatic, Method -> "Preemptive"], + Hue[0.08, 0.9, 0.8], Editable -> False, Selectable -> + False], ",", + RowBox[{"AbsolutePointSize", "[", "6", "]"}]}], "]"}], ",", + RowBox[{"Directive", "[", + RowBox[{ + InterpretationBox[ + ButtonBox[ + TooltipBox[ + GraphicsBox[{{ + GrayLevel[0], + RectangleBox[{0, 0}]}, { + GrayLevel[0], + RectangleBox[{1, -1}]}, { + GrayLevel[0], + RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> + "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, + FrameStyle -> GrayLevel[0.], FrameTicks -> None, + PlotRangePadding -> None, ImageSize -> + Dynamic[{ + Automatic, 1.35 CurrentValue["FontCapHeight"]/ + AbsoluteCurrentValue[Magnification]}]], + StyleBox[ + RowBox[{"GrayLevel", "[", "0", "]"}], NumberMarks -> + False]], Appearance -> None, BaseStyle -> {}, + BaselinePosition -> Baseline, DefaultBaseStyle -> {}, + ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, + If[ + Not[ + AbsoluteCurrentValue["Deployed"]], + SelectionMove[Typeset`box$, All, Expression]; + FrontEnd`Private`$ColorSelectorInitialAlpha = 1; + FrontEnd`Private`$ColorSelectorInitialColor = + GrayLevel[0]; + FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; + MathLink`CallFrontEnd[ + FrontEnd`AttachCell[Typeset`box$, + FrontEndResource["GrayLevelColorValueSelector"], { + 0, {Left, Bottom}}, {Left, Top}, + "ClosingActions" -> { + "SelectionDeparture", "ParentChanged", + "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> + Automatic, Method -> "Preemptive"], + 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RowBox[{"AbsolutePointSize", "[", "4", "]"}]}], "]"}], ",", + RowBox[{"Directive", "[", + RowBox[{ + InterpretationBox[ + ButtonBox[ + TooltipBox[ + GraphicsBox[{{ + GrayLevel[0], + RectangleBox[{0, 0}]}, { + GrayLevel[0], + RectangleBox[{1, -1}]}, { + Hue[0.11, 1, 0.75], + RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> + "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, + FrameStyle -> Hue[0.11, 1., 0.5], FrameTicks -> None, + PlotRangePadding -> None, ImageSize -> + Dynamic[{ + Automatic, 1.35 CurrentValue["FontCapHeight"]/ + AbsoluteCurrentValue[Magnification]}]], + StyleBox[ + RowBox[{"Hue", "[", + RowBox[{"0.11`", ",", "1", ",", "0.75`"}], "]"}], + NumberMarks -> False]], Appearance -> None, + BaseStyle -> {}, BaselinePosition -> Baseline, + DefaultBaseStyle -> {}, ButtonFunction :> + With[{Typeset`box$ = EvaluationBox[]}, + If[ + Not[ + AbsoluteCurrentValue["Deployed"]], + SelectionMove[Typeset`box$, All, Expression]; + FrontEnd`Private`$ColorSelectorInitialAlpha = 1; + FrontEnd`Private`$ColorSelectorInitialColor = + Hue[0.11, 1, 0.75]; + FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; + MathLink`CallFrontEnd[ + FrontEnd`AttachCell[Typeset`box$, + FrontEndResource["HueColorValueSelector"], { + 0, {Left, Bottom}}, {Left, Top}, + "ClosingActions" -> { + "SelectionDeparture", "ParentChanged", + "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> + Automatic, Method -> "Preemptive"], + Hue[0.11, 1, 0.75], Editable -> False, Selectable -> + False], ",", + RowBox[{"AbsolutePointSize", "[", "6", "]"}]}], "]"}], ",", + RowBox[{"Directive", "[", + RowBox[{ + InterpretationBox[ + ButtonBox[ + TooltipBox[ + GraphicsBox[{{ + GrayLevel[0], + RectangleBox[{0, 0}]}, { + GrayLevel[0], + RectangleBox[{1, -1}]}, { + Hue[0.08, 0.9, 0.8], + RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> + "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, + FrameStyle -> Hue[0.08, 0.9, 0.5333333333333334], + FrameTicks -> None, PlotRangePadding -> None, ImageSize 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Automatic, "ExampleWeights" -> Automatic, + "RawExample" -> Missing["KeyAbsent", "RawExample"]]]}]], + "ScalarFeature" -> True, "Invertibility" -> "Perfect", "Missing" -> + "Allowed"]], "Processor" -> MachineLearning`MLProcessor["Sequence", + Association[ + "Input" -> Association[ + "f1" -> Association["Type" -> "Numerical", "Weight" -> 1]], + "Output" -> + Association[ + "f1" -> Association["Type" -> "Numerical", "Weight" -> 1]], + "Processors" -> { + MachineLearning`MLProcessor["ToVector", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Allowed", "Input" -> + Association[ + "f1" -> Association["Type" -> "Numerical", "Weight" -> 1]], + "Output" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], + "Version" -> {12., 0}, "ID" -> 9142801030103897792]], + MachineLearning`MLProcessor["Standardize", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Allowed", "Input" -> + Association[ + "f1" -> Association[ + "Type" -> 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RawArray["Integer16",{6, 9, 5, 4, 6, 10, 5, 2}], + "NumericalThresholds" -> + RawArray["Real32",{-0.825214147567749, + 0.1260567456483841, -0.009714541025459766, 0.14261698722839355`, + 0.28595587611198425`, -0.6804742813110352, + 0.7467576861381531, -0.41238299012184143`}], "Children" -> + RawArray["Integer16",{{2, 3}, {-1, -2}, {4, 6}, { + 5, -5}, {-3, -4}, {-6, 7}, {-7, 8}, {-8, -9}}], "LeafValues" -> + RawArray["Real32",{1., 2., -1., -1., -1., 1., 0., 0., 1.}], + "NominalSplits" -> {}, "RootIndex" -> 1, "NominalDimension" -> 0]], + + MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> + RawArray["Integer16",{4, 7, 4, 7, 3, 1, 7, 6, 5}], + "NumericalThresholds" -> + RawArray["Real32",{ + 0.20096874237060547`, -0.2259187251329422, -1.1165885925292969`, + 0.884742021560669, + 0.018555661663413048`, -0.02314475178718567, -0.9909157752990723, \ +-0.6084752082824707, -0.1495911031961441}], "Children" -> + RawArray["Integer16",{{2, 7}, {3, 4}, {-1, -2}, {5, + 6}, {-3, -4}, 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-9}}], "LeafValues" -> + RawArray["Real32",{0., -1., -1., 0., 1., 2., 0., 1., 0.}], + "NominalSplits" -> {}, "RootIndex" -> 1, "NominalDimension" -> 0]], + + MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> + RawArray["Integer16",{10, 2, 7, 7, 6, 5, 3, 8, 6, 2}], + "NumericalThresholds" -> + RawArray[ + "Real32",{-1.484594702720642, -1.0915547609329224`, \ +-0.2784866690635681, -0.42711982131004333`, -0.825214147567749, + 0.19703379273414612`, -0.14004988968372345`, + 0.5031415224075317, -0.12087485939264297`, \ +-0.20472955703735352`}], "Children" -> + RawArray["Integer16",{{-1, 2}, {3, 4}, {-2, -3}, {5, 8}, {-4, 6}, { + 7, -7}, {-5, -6}, {9, -11}, {-8, 10}, {-9, -10}}], "LeafValues" -> + RawArray["Real32",{2., 0., -1., 1., 0., 0., 1., 0., -1., -1., 0.}], + "NominalSplits" -> {}, "RootIndex" -> 1, "NominalDimension" -> 0]], + + MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> + RawArray["Integer16",{6, 10, 7, 5, 5, 9, 10, 2, 3}], + "NumericalThresholds" -> + RawArray[ + "Real32",{-0.4778471887111664, -1.2401206493377686`, \ +-0.2259187251329422, 0.18653985857963562`, -0.9983289837837219, + 0.9691298007965088, + 0.09450593590736389, -0.06705264747142792, \ +-0.25515061616897583`}], "Children" -> + RawArray["Integer16",{{2, 5}, {-1, 3}, {-2, 4}, {-3, -4}, {-5, 6}, { + 7, -10}, {8, 9}, {-6, -7}, {-8, -9}}], "LeafValues" -> + RawArray["Real32",{2., 1., 0., 1., -1., 0., -1., 0., 0., 0.}], + "NominalSplits" -> {}, "RootIndex" -> 1, "NominalDimension" -> 0]], + + MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> + RawArray["Integer16",{10, 5, 7, 10, 1, 7, 6, 7, 2}], + "NumericalThresholds" -> + RawArray["Real32",{-1.3174315690994263`, -0.6431518793106079, + 0.12882307171821594`, 0.3324120342731476, 1.1693065166473389`, + 0.5912125110626221, 0.3693362772464752, -0.2259187251329422, + 0.28535032272338867`}], "Children" -> + RawArray["Integer16",{{-1, 2}, {3, 5}, {-2, 4}, {-3, -4}, { + 6, -10}, {7, 9}, {8, 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"RootIndex" -> 1, "NominalDimension" -> 0]], + + MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> RawArray["Integer16",{7, 5, 6, 5, 6, 5, 10}], + "NumericalThresholds" -> + RawArray[ + "Real32",{-0.9521403312683105, -0.5359053015708923, \ +-0.6084752082824707, + 0.18653985857963562`, -0.12087485939264297`, -0.9566951394081116, \ +-0.5316853523254395}], "Children" -> + RawArray["Integer16",{{2, 3}, {-1, -2}, {4, 5}, {-3, -4}, {-5, + 6}, {-6, 7}, {-7, -8}}], "LeafValues" -> + RawArray["Real32",{0., 2., 0., 1., 0., -1., 0., -1.}], + "NominalSplits" -> {}, "RootIndex" -> 1, "NominalDimension" -> 0]], + + MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> RawArray["Integer16",{2, 5, 3, 7, 9, 10, 6, 7}], + "NumericalThresholds" -> + RawArray["Real32",{-1.2791712284088135`, -0.466696560382843, + 0.037826474756002426`, -0.35544025897979736`, -0.8202037811279297, + 0.7447192072868347, 0.039085764437913895`, -0.2259187251329422}], + "Children" -> + 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RawArray["Integer16",{5, 7, 2, 5, 3, 6, 8, 7, 7}], + "NumericalThresholds" -> + RawArray["Real32",{-0.1495911031961441, -1.4150385856628418`, + 0.1859941929578781, -0.9566951394081116, -0.8506186604499817, \ +-0.36963164806365967`, -0.41686156392097473`, -0.1520342081785202, \ +-1.0921342372894287`}], "Children" -> + RawArray["Integer16",{{2, 6}, {-1, 3}, {4, 5}, {-2, -3}, {-4, -5}, { + 7, 8}, {-6, -7}, {9, -10}, {-8, -9}}], "LeafValues" -> + RawArray["Real32",{1., -1., -1., 0., 0., 1., 2., 1., 0., -1.}], + "NominalSplits" -> {}, "RootIndex" -> 1, "NominalDimension" -> 0]], + + MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> + RawArray["Integer16",{5, 10, 7, 7, 4, 7, 7, 5, 1}], + "NumericalThresholds" -> + RawArray["Real32",{-0.466696560382843, -0.8585283160209656, + 0.12882307171821594`, 0.7778028845787048, + 1.3381203413009644`, -0.9521403312683105, 0.2497434914112091, + 0.7467576861381531, 0.8724315762519836}], "Children" -> + RawArray["Integer16",{{2, 5}, {-1, 3}, {-2, 4}, {-3, -4}, { + 6, -10}, {-5, 7}, {-6, 8}, {-7, 9}, {-8, -9}}], "LeafValues" -> + RawArray["Real32",{0., -1., -1., -1., 1., 0., -1., 0., 0., 1.}], + "NominalSplits" -> {}, "RootIndex" -> 1, "NominalDimension" -> 0]], + + MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> + RawArray["Integer16",{7, 5, 4, 3, 5, 7, 9, 10, 5}], + "NumericalThresholds" -> + RawArray["Real32",{-0.9274236559867859, 1.2239344120025635`, + 1.3154963254928589`, 0.9399561285972595, 0.6695528626441956, + 0.3939448595046997, 0.1260567456483841, + 0.11860372871160507`, -0.8011568784713745}], "Children" -> + RawArray["Integer16",{{2, 3}, {-1, -2}, {4, -10}, {5, 9}, {6, -7}, { + 7, 8}, {-3, -4}, {-5, -6}, {-8, -9}}], "LeafValues" -> + RawArray["Real32",{1., 2., 0., 0., -1., 0., 0., -1., 0., -1.}], + "NominalSplits" -> {}, "RootIndex" -> 1, "NominalDimension" -> 0]], + + MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> + RawArray["Integer16",{6, 7, 7, 5, 7, 5, 6, 4, 5}], + "NumericalThresholds" -> + RawArray[ + "Real32",{-0.825214147567749, -0.2259187251329422, \ +-0.7212034463882446, 0.31546178460121155`, + 0.33484357595443726`, -0.6054947972297668, 0.38702622056007385`, + 0.20096874237060547`, 0.24951177835464478`}], "Children" -> + RawArray["Integer16",{{2, 3}, {-1, -2}, {4, 5}, {-3, -4}, {6, + 8}, {-5, 7}, {-6, -7}, {9, -10}, {-8, -9}}], "LeafValues" -> + RawArray["Real32",{2., 0., 0., 1., -1., 0., 0., -1., 0., -1.}], + "NominalSplits" -> {}, "RootIndex" -> 1, "NominalDimension" -> 0]], + + MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> + RawArray["Integer16",{10, 7, 5, 5, 1, 4, 3, 8, 7}], + "NumericalThresholds" -> + RawArray[ + "Real32",{-1.2401206493377686`, -0.7212034463882446, \ +-0.0882166400551796, -1.142466425895691, -0.16970832645893097`, \ +-0.22095121443271637`, -0.20010966062545776`, 0.3354482054710388, + 0.03634391725063324}], "Children" -> + RawArray["Integer16",{{2, 3}, {-1, -2}, {4, 7}, {5, + 6}, {-3, -4}, {-5, 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0., 0., -1., -1., -1., 0.}], + "NominalSplits" -> {}, "RootIndex" -> 1, "NominalDimension" -> 0]], + + MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> + RawArray["Integer16",{7, 6, 3, 10, 6, 7, 2, 5, 6}], + "NumericalThresholds" -> + RawArray[ + "Real32",{-0.42711982131004333`, -0.5890621542930603, \ +-0.2867512106895447, 1.3304029703140259`, -0.6084752082824707, + 1.0190767049789429`, 0.76828932762146, -0.1495911031961441, + 0.9026046395301819}], "Children" -> + RawArray["Integer16",{{2, 5}, {-1, 3}, {4, -4}, {-2, -3}, {6, + 7}, {-5, -6}, {8, -10}, {9, -9}, {-7, -8}}], "LeafValues" -> + RawArray["Real32",{2., 1., 0., 0., 0., 0., -1., -1., -1., 0.}], + "NominalSplits" -> {}, "RootIndex" -> 1, "NominalDimension" -> 0]], + + MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> + RawArray["Integer16",{10, 10, 7, 6, 9, 10, 5, 5, 2}], + "NumericalThresholds" -> + RawArray["Real32",{-1.3669949769973755`, -0.47602972388267517`, + 0.5912125110626221, 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"NominalDimension" -> 0]], + + MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> RawArray["Integer16",{2, 6, 4, 7, 3, 5, 5, 4}], + "NumericalThresholds" -> + RawArray["Real32",{0.9847925305366516, -0.36963164806365967`, + 0.6715491414070129, -0.2259187251329422, + 0.33598774671554565`, -0.1495911031961441, -0.19537095725536346`, + 0.06981539726257324}], "Children" -> + RawArray["Integer16",{{2, 8}, {3, 5}, {4, -3}, {-1, -2}, {6, + 7}, {-4, -5}, {-6, -7}, {-8, -9}}], "LeafValues" -> + RawArray["Real32",{2., 0., 0., -1., 0., -1., 0., 0., 0.}], + "NominalSplits" -> {}, "RootIndex" -> 1, "NominalDimension" -> 0]], + + MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> RawArray["Integer16",{4, 7, 5, 6, 4, 6, 5, 6}], + "NumericalThresholds" -> + RawArray["Real32",{-1.172286868095398, -0.42711982131004333`, + 0.06246832758188248, 0.3693362772464752, + 1.123253583908081, -0.6084752082824707, -0.8011568784713745, + 0.41900309920310974`}], "Children" -> + RawArray["Integer16",{{-1, 2}, {3, 5}, {4, -4}, {-2, -3}, { + 6, -9}, {-5, 7}, {-6, 8}, {-7, -8}}], "LeafValues" -> + RawArray["Real32",{1., 0., 0., 1., 0., -1., 0., -1., -1.}], + "NominalSplits" -> {}, "RootIndex" -> 1, "NominalDimension" -> 0]], + + MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> + RawArray["Integer16",{2, 5, 7, 4, 5, 10, 7, 10, 5}], + "NumericalThresholds" -> + RawArray["Real32",{0.3854820132255554, + 0.7899166941642761, -0.35544025897979736`, + 0.41915708780288696`, -1.0395952463150024`, -0.22358739376068115`, + 0.1780901402235031, -1.0500274896621704`, -0.04061906412243843}], + "Children" -> + RawArray["Integer16",{{2, 7}, {3, -6}, {4, 5}, {-1, -2}, {-3, + 6}, {-4, -5}, {8, -10}, {-7, 9}, {-8, -9}}], "LeafValues" -> + RawArray["Real32",{0., 0., -1., 0., -1., 1., 2., 0., 1., 0.}], + "NominalSplits" -> {}, "RootIndex" -> 1, "NominalDimension" -> 0]], + + MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> + RawArray["Integer16",{5, 9, 7, 5, 10, 7, 6, 3, 1}], + "NumericalThresholds" -> + RawArray["Real32",{-0.466696560382843, + 0.8322447538375854, -0.5322354435920715, -1.2845385074615479`, \ +-0.47602972388267517`, -0.9521403312683105, + 0.7190258502960205, -0.4379863739013672, 0.007702467497438192}], + "Children" -> + RawArray["Integer16",{{2, 5}, {3, -4}, {-1, 4}, {-2, -3}, {6, + 7}, {-5, -6}, {8, -10}, {-7, 9}, {-8, -9}}], "LeafValues" -> + RawArray["Real32",{0., -1., -1., 0., 2., 0., 0., 0., 0., 0.}], + "NominalSplits" -> {}, "RootIndex" -> 1, "NominalDimension" -> 0]], + + MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> + RawArray["Integer16",{8, 7, 7, 2, 6, 5, 5, 6, 2}], + "NumericalThresholds" -> + RawArray["Real32",{ + 1.3031259775161743`, -0.38997992873191833`, -0.9274236559867859, \ +-1.0464352369308472`, -0.806659460067749, + 0.1536940187215805, -1.142466425895691, 0.11700774729251862`, + 0.19713960587978363`}], "Children" -> + RawArray["Integer16",{{2, -10}, {3, 4}, {-1, -2}, {5, + 6}, {-3, -4}, {7, 9}, {-5, 8}, {-6, -7}, {-8, -9}}], "LeafValues" -> + RawArray["Real32",{1., 0., 0., -1., -1., 0., -1., 0., 0., 1.}], + "NominalSplits" -> {}, "RootIndex" -> 1, "NominalDimension" -> 0]], + + MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> + RawArray["Integer16",{8, 6, 3, 2, 5, 1, 6, 7, 5}], + "NumericalThresholds" -> + RawArray[ + "Real32",{-0.41686156392097473`, -1.050388216972351, \ +-0.3658471703529358, 0.12560231983661652`, -0.6431518793106079, + 0.07477367669343948, -0.825214147567749, -0.06415561586618423, + 0.5533114671707153}], "Children" -> + RawArray["Integer16",{{2, 5}, {-1, 3}, {-2, 4}, {-3, -4}, {6, + 7}, {-5, -6}, {-7, 8}, {-8, 9}, {-9, -10}}], "LeafValues" -> + RawArray["Real32",{1., 0., 0., -1., -1., -1., 2., 0., -1., -1.}], + "NominalSplits" -> {}, "RootIndex" -> 1, "NominalDimension" -> 0]], + + MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> + RawArray["Integer16",{7, 6, 10, 5, 6, 1, 10, 5, 1, 1, 4}], + "NumericalThresholds" -> + RawArray["Real32",{-0.6070513129234314, -0.4778471887111664, + 1.425175428390503, 0.06246832758188248, -0.6084752082824707, + 0.4232001304626465, + 1.2279586791992188`, -0.6431518793106079, -0.5184009075164795, + 0.36357325315475464`, -0.22095121443271637`}], "Children" -> + RawArray["Integer16",{{2, 5}, {-1, 3}, {4, -4}, {-2, -3}, {6, + 7}, {-5, -6}, {8, -12}, {9, 11}, {-7, 10}, {-8, -9}, {-10, -11}}], + "LeafValues" -> + RawArray["Real32",{2., 0., 1., 0., 0., 1., -1., -1., -1., -1., 0., + 0.}], "NominalSplits" -> {}, "RootIndex" -> 1, "NominalDimension" -> + 0]], + MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> + RawArray["Integer16",{10, 5, 2, 1, 8, 4, 3, 8, 6, 5}], + "NumericalThresholds" -> + RawArray[ + "Real32",{-1.3174315690994263`, -0.466696560382843, \ +-0.6068299412727356, 0.1582619696855545, 0.41231390833854675`, + 1.2839157581329346`, -1.1501786708831787`, 1.1235564947128296`, + 0.2650653123855591, 0.6695528626441956}], "Children" -> + RawArray["Integer16",{{-1, 2}, {3, 6}, {-2, 4}, {5, -5}, {-3, -4}, { + 7, -11}, {-6, 8}, {9, -10}, {10, -9}, {-7, -8}}], "LeafValues" -> + RawArray["Real32",{1., -1., -1., -1., 0., 1., 0., 0., 0., 0., 1.}], + "NominalSplits" -> {}, "RootIndex" -> 1, "NominalDimension" -> 0]], + + MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> RawArray["Integer16",{5, 7, 10, 6, 6, 7, 6, 6}], + "NumericalThresholds" -> + RawArray["Real32",{0.014762062579393387`, + 0.014053009450435638`, -0.582504391670227, -0.7346756458282471, + 0.3206777274608612, -0.42711982131004333`, -0.36963164806365967`, \ +-0.3126838505268097}], "Children" -> + RawArray["Integer16",{{2, 6}, {3, 4}, {-1, -2}, {-3, 5}, {-4, -5}, { + 7, 8}, {-6, -7}, {-8, -9}}], "LeafValues" -> + RawArray["Real32",{0., 0., 0., -1., -1., 2., 1., 0., -1.}], + "NominalSplits" -> {}, "RootIndex" -> 1, "NominalDimension" -> 0]]}, + "Processor" -> MachineLearning`MLProcessor["FirstValues", + Association[ + "Info" -> 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NeuralNetworks`Private`ScalarSymbol[1]}, + NeuralNetworks`Private`ScalarSymbol[2], + Association[ + NeuralNetworks`Private`ScalarSymbol[2] -> { + "ScaledExponentialLinearUnit", + NeuralNetworks`Private`ScalarSymbol[1]}]]], + "$Dimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "6" -> + Association[ + "Type" -> "Dropout", "Arrays" -> Association[], + "Parameters" -> + Association[ + "DropoutProbability" -> 0.01, "Method" -> "AlphaDropout"], + "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "7" -> + Association[ + "Type" -> "Linear", "Arrays" -> + Association["Weights" -> CompressedData[" +1:eJwtl3k4lO/7/iVRIntRQlExtplhtue+xxZpUUkULUppU0mSpe0dEdosbbZs 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{Left, Baseline}], + Pane[ + Annotation[ + RawBoxes["16000"], + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[ + 1814601422][ + GeneralUtilities`Slice[ + Key[MaxTrainingRounds]]], "Mouse"], + ImageSize -> {{34, Full}, Automatic}, + Alignment -> {Left, Baseline}]}}, + BaseStyle -> {ContextMenu -> { + MenuItem["Copy position to clipboard", + KernelExecute[ + TypeSystem`NestedGrid`PackagePrivate`toCurrentPosition[ + TypeSystem`NestedGrid`PackagePrivate`copyClip]], + MenuEvaluator -> Automatic], + MenuItem["Copy data to clipboard", + KernelExecute[ + TypeSystem`NestedGrid`PackagePrivate`toCurrentData[ + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`copyClip]], + MenuEvaluator -> Automatic], Delimiter, + MenuItem["Paste position in new cell", + KernelExecute[ + TypeSystem`NestedGrid`PackagePrivate`toCurrentPosition[ + TypeSystem`NestedGrid`PackagePrivate`cellPaste]], + MenuEvaluator -> Automatic], + MenuItem["Paste data in new cell", + KernelExecute[ + TypeSystem`NestedGrid`PackagePrivate`toCurrentData[ + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`cellPaste]], + MenuEvaluator -> Automatic]}, FontFamily -> "Verdana", + FontSize -> 12}, Alignment -> Left, RowMinHeight -> 1.5, + Dividers -> All, FrameStyle -> GrayLevel[0.85], + BaseStyle -> {FontFamily -> "Verdana", FontSize -> 12}], + LineBreakWithin -> False, ContextMenu -> {}, NumberMarks -> + False, ShowAutoStyles -> False]], + TypeSystem`NestedGrid`PackagePrivate`initialQ = True, + TypeSystem`NestedGrid`PackagePrivate`self = $Failed}, + Dynamic[ + TypeSystem`NestedGrid`PackagePrivate`setupViewPath[ + TypeSystem`NestedGrid`PackagePrivate`$path$$, If[ + Not[TypeSystem`NestedGrid`PackagePrivate`initialQ], + + Module[{ + TypeSystem`NestedGrid`PackagePrivate`tmpGrid$ = $Failed, + TypeSystem`NestedGrid`PackagePrivate`tmpData$ = + TypeSystem`NestedGrid`PackagePrivate`LookupCacheValue[ + TypeSystem`NestedGrid`PackagePrivate`$state$$["Data"]]}, + TypeSystem`NestedGrid`PackagePrivate`tmpGrid$ = + If[TypeSystem`NestedGrid`PackagePrivate`tmpData$ === + TypeSystem`NestedGrid`PackagePrivate`$NotCached, + TypeSystem`NestedGrid`PackagePrivate`renderedGrid, + TypeSystem`NestedGrid`PackagePrivate`renderGrid[ + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`$path$$, + TypeSystem`NestedGrid`PackagePrivate`$pos$$, + TypeSystem`NestedGrid`PackagePrivate`$grid$$, 1814601422][ + TypeSystem`NestedGrid`PackagePrivate`tmpData$]]; If[ + Not[ + FailureQ[TypeSystem`NestedGrid`PackagePrivate`tmpGrid$]], + TypeSystem`NestedGrid`PackagePrivate`renderedGrid = + TypeSystem`NestedGrid`PackagePrivate`tmpGrid$]; Null]]; + TypeSystem`NestedGrid`PackagePrivate`initialQ = False; + TypeSystem`NestedGrid`PackagePrivate`$pos$$; If[ + FailureQ[ + TypeSystem`NestedGrid`PackagePrivate`renderedGrid], + TypeSystem`SparseGrid[ + TypeSystem`H["(data no longer present)"]], + If[GeneralUtilities`$DebugMode, + + Row[{TypeSystem`NestedGrid`PackagePrivate`renderedGrid, + " ", + TypeSystem`NestedGrid`PackagePrivate`formatState[ + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`$path$$, + TypeSystem`NestedGrid`PackagePrivate`$pos$$]}], + TypeSystem`NestedGrid`PackagePrivate`renderedGrid]]], + TrackedSymbols :> { + TypeSystem`NestedGrid`PackagePrivate`$pos$$}], + DynamicModuleValues :> {}], + TypeSystem`NestedGrid`PackagePrivate`$posCell$$, + TypeSystem`NestedGrid`PackagePrivate`$topBar$$ = Dynamic[ + TypeSystem`NestedGrid`PackagePrivate`alignBar[ + TypeSystem`NestedGrid`PackagePrivate`$state$$][ + TypeSystem`NestedGrid`PackagePrivate`makeFramedBar[ + TypeSystem`PackageScope`Pathbar[ + TypeSystem`NestedGrid`PackagePrivate`$path$$, + TypeSystem`NestedGrid`PackagePrivate`updateState[ + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`$path$$, + TypeSystem`NestedGrid`PackagePrivate`$pos$$, + TypeSystem`NestedGrid`PackagePrivate`$grid$$, + 1814601422]]]], + TrackedSymbols :> { + TypeSystem`NestedGrid`PackagePrivate`$path$$}], + TypeSystem`NestedGrid`PackagePrivate`$bottomBar$$ = Framed[ + Dynamic[ + Replace[ + MouseAnnotation[Null], { + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[ + 1814601422][Null] -> "", + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[ + 1814601422][ + Pattern[TypeSystem`NestedGrid`PackagePrivate`path, + Blank[]]] :> ( + TypeSystem`NestedGrid`PackagePrivate`$lastPath = + TypeSystem`NestedGrid`PackagePrivate`path; + TypeSystem`NestedGrid`PackagePrivate`makePathTrail[ + TypeSystem`NestedGrid`PackagePrivate`path, + TypeSystem`NestedGrid`PackagePrivate`makePathElements]), + Null :> Spacer[10], Blank[] :> Spacer[10]}], + TrackedSymbols :> {}], FrameStyle -> None, ImageMargins -> + 0, FrameMargins -> 0, Alignment -> Top, + ImageSize -> {Automatic, 14}]}, + DynamicBox[ + ToBoxes[ + Column[ + If[TypeSystem`NestedGrid`PackagePrivate`$path$$ == {}, { + TypeSystem`NestedGrid`PackagePrivate`displayScrollBar[ + TypeSystem`NestedGrid`PackagePrivate`$grid$$, + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`$pos$$], + TypeSystem`NestedGrid`PackagePrivate`onDesktopShow[ + TypeSystem`NestedGrid`PackagePrivate`alignBar[ + TypeSystem`NestedGrid`PackagePrivate`$state$$][ + TypeSystem`NestedGrid`PackagePrivate`$bottomBar$$]]}, { + TypeSystem`NestedGrid`PackagePrivate`$topBar$$, + TypeSystem`NestedGrid`PackagePrivate`displayScrollBar[ + TypeSystem`NestedGrid`PackagePrivate`$grid$$, + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`$pos$$], + TypeSystem`NestedGrid`PackagePrivate`onDesktopShow[ + TypeSystem`NestedGrid`PackagePrivate`alignBar[ + TypeSystem`NestedGrid`PackagePrivate`$state$$][ + TypeSystem`NestedGrid`PackagePrivate`$bottomBar$$]]}], + Spacings -> + If[TypeSystem`NestedGrid`PackagePrivate`$path$$ == {}, + 0, {{}, {0, 0.05, 0}}]], StandardForm], + TrackedSymbols :> { + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`$grid$$}], + Initialization :> Block[{$ContextPath = $ContextPath}, + Needs["TypeSystem`"]], DynamicModuleValues :> {}, + BaseStyle -> {LineBreakWithin -> False}, Deinitialization :> + TypeSystem`NestedGrid`PackagePrivate`deleteState[ + TypeSystem`NestedGrid`PackagePrivate`$state$$]], Deploy, + DefaultBaseStyle -> "Deploy"]}, "CopyTag", + DisplayFunction -> (#& ), + InterpretationFunction -> ("Dataset[<>]"& )]], + Annotation[#, + Dataset[ + Association["NetworkDepth" -> 3, MaxTrainingRounds -> 16000], + TypeSystem`Assoc[TypeSystem`AnyType, + TypeSystem`Atom[Integer], 2], + Association["ID" -> 142343985625740]], "Tooltip"]& ]}, + { + + TemplateBox[{ + TemplateBox[{5}, "Spacer1"],StyleBox[ + "\"Single evaluation time\"", + GrayLevel[0.4], StripOnInput -> False]}, + "RowDefault"], + + TemplateBox[{ + "2.34`", + RowBox[{ + "\"ms\"", "\[InvisibleSpace]", "\"/\"", "\[InvisibleSpace]", 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Offset[6.272]], {{{2.70805020110221, + 3.363444448523698}}, {{4.624972813284271, + 2.299738884310408}}}]}}, {{ + Directive[ + PointSize[0.012833333333333334`], + RGBColor[0.368417, 0.506779, 0.709798], + AbsoluteThickness[1.6]]}, {}}, {{ + Directive[ + PointSize[0.012833333333333334`], + RGBColor[0.368417, 0.506779, 0.709798], + AbsoluteThickness[1.6]]}, {}}}, {{}, {}}}, {{}, {{{}, {}, { + Hue[0.67, 0.6, 0.6], + Directive[ + PointSize[0.012833333333333334`], + AbsoluteThickness[1.6], + RGBColor[0.368417, 0.506779, 0.709798]], + + Line[{{2.70805020110221, 3.0987730207670587`}, { + 2.70805020110221, 3.6281158762803374`}}]}, { + Hue[0.9060679774997897, 0.6, 0.6], + Directive[ + PointSize[0.012833333333333334`], + AbsoluteThickness[1.6], + RGBColor[0.368417, 0.506779, 0.709798]], + + Line[{{4.624972813284271, 1.7809152838588105`}, { + 4.624972813284271, 2.8185624847620057`}}]}}, {{ + Directive[ + PointSize[0.012833333333333334`], + AbsoluteThickness[1.6], + RGBColor[0.368417, 0.506779, 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"SummaryItem"]}]}, { + RowBox[{ + TagBox[ + "\"Number of training examples: \"", + "SummaryItemAnnotation"], "\[InvisibleSpace]", + TagBox["128", "SummaryItem"]}]}}, + GridBoxAlignment -> { + "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> + False, GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, + BaseStyle -> { + ShowStringCharacters -> False, NumberMarks -> False, + PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, + GridBoxAlignment -> {"Rows" -> {{Top}}}, AutoDelete -> False, + GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + BaselinePosition -> {1, 1}]}, + Dynamic[Typeset`open$$], ImageSize -> Automatic]}, + "SummaryPanel"], + DynamicModuleValues:>{}], "]"}], + PredictorFunction[ + Association[ + "ExampleNumber" -> 128, "Input" -> + Association["Preprocessor" -> MachineLearning`MLProcessor["ToMLDataset", + Association[ + "Input" -> Association[ + "f1" -> Association["Type" -> "Numerical"], "f2" -> + Association["Type" -> "Numerical"], "f3" -> + Association["Type" -> "Numerical"], "f4" -> + Association["Type" -> "Numerical"], "f5" -> + Association["Type" -> "Numerical"], "f6" -> + Association["Type" -> "Numerical"], "f7" -> + Association["Type" -> "Numerical"], "f8" -> + Association["Type" -> "Numerical"], "f9" -> + Association["Type" -> "Numerical"], "f10" -> + Association["Type" -> "Numerical"]], "Output" -> + Association[ + "f1" -> Association["Type" -> "Numerical", "Weight" -> 1], "f2" -> + Association["Type" -> "Numerical", "Weight" -> 1], "f3" -> + Association["Type" -> "Numerical", "Weight" -> 1], "f4" -> + Association["Type" -> "Numerical", "Weight" -> 1], "f5" -> + Association["Type" -> "Numerical", "Weight" -> 1], "f6" -> + Association["Type" -> "Numerical", "Weight" -> 1], "f7" -> + Association["Type" -> "Numerical", "Weight" -> 1], "f8" -> + Association["Type" -> "Numerical", "Weight" -> 1], "f9" -> + 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-> "Allowed", "Input" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], "Output" -> + Association[ + "f1" -> Association["Type" -> "Numerical", "Weight" -> 1]], + "Version" -> {12., 0}, "ID" -> 5274712724571033848]], + MachineLearning`MLProcessor["FirstValues", + Association[ + "Info" -> Association["Type" -> "Numerical", "Weight" -> 1], + "Key" -> "f1", "Invertibility" -> "Perfect", "Missing" -> + "Allowed"]]}, "Invertibility" -> "Perfect", "Missing" -> + "Allowed"]], "ProbabilityPostprocessor" -> Identity, + "InverseProcessorFunction" -> (12.036841512210936` + + 8.206762452935592 #& ), + "ProcessorFunction" -> (-1.4666979312780413` + + 0.12185073050850838` #& ), "Name" -> "value", + "Quantiles" -> {-1.3714560466149355`, 3.2037723339225077`}], "Prior" -> + Automatic, "Utility" -> (DiracDelta[#2 - #]& ), "Threshold" -> 0, + "PerformanceGoal" -> Automatic, "BatchProcessing" -> Automatic, + "Model" -> Association[ + AssumeDeterministic -> False, "EstimationMethod" -> + "MaximumPosterior", "NominalCovarianceType" -> "HammingDistance", + "NumericalCovarianceType" -> "SquaredExponential", + "OptimizationMethod" -> Automatic, "TrainedGPModel" -> + Association[ + "CovarianceFunction" -> + Association[ + Method -> "SquaredExponential" + "WN", "HyperParameters" -> { + Association[ + "NumericalLengthScale" -> 2.4301606822198702`, + "SignalVariance" -> 0.5090242690994892, "NoiseVariance" -> + 0.00033546262790251185`], + Association[ + "NumericalLengthScale" -> 2.4301606822198702`, + "SignalVariance" -> 0.5090242690994892, "NoiseVariance" -> + 0.00033546262790251185`]}], "MeanFunction" -> Association[], + "Purpose" -> Association["task" -> "FunctionOptimization"], + "TrainingData" -> {CompressedData[" +1:eJwNl3k41F8bh0kospaQ1M8SSUIqFXqUJZIotJKIikJUSloU8kolSQsKWZI9 +IhUeS2Qp+77v2zBmxuxjeeeP8+f5Xud8r+d87vuj4Ox1wnUFDw/PJe4S4i45 +as2NEVEicmz4ZXfbUSD6l/qKTRokNO5wCq0sqYSjjhXXlyfpUBR8j/GhuQoJ 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Association[ + "Input" -> Association[ + "(f1f2f3f4f5f6f7f8f9f10)" -> + Association["Type" -> "NumericalVector", "Weight" -> 10]], + "Output" -> + Association[ + "(f1f2f3f4f5f6f7f8f9f10)" -> + Association["Type" -> "NumericalVector", "Weight" -> 10]], + "Processors" -> { + MachineLearning`MLProcessor["Standardize", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Allowed", "Input" -> + Association[ + "(f1f2f3f4f5f6f7f8f9f10)" -> + Association["Type" -> "NumericalVector", "Weight" -> 10]], + "Mean" -> {-0.01886279343518539, 0.048398116275042626`, + 0.03415825014254453, -0.048491702201145306`, + 0.0020010285132163316`, + 0.09110138733751162, -0.05439562181801383, + 0.05793447524141668, 0.027764294616285407`, + 0.011034251301350625`}, + "StandardDeviation" -> {1.0014828031948477`, + 1.0117321974774929`, 0.990122827887419, 0.9967294521916837, + 0.9967216398688566, 0.9900767380986997, 1.0058287437310844`, + 0.995135703188061, 0.9869717391057093, 1.0086818145404315`}, + "Output" -> + Association[ + "(f1f2f3f4f5f6f7f8f9f10)" -> + Association["Type" -> "NumericalVector", "Weight" -> 10]], + "Version" -> {12., 0}, "ID" -> 1800288006076226816]], + MachineLearning`MLProcessor["FirstValues", + Association[ + "Info" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 10], "Key" -> + "(f1f2f3f4f5f6f7f8f9f10)", "Invertibility" -> "Perfect", + "Missing" -> "Allowed"]]}, "Invertibility" -> "Perfect", + "Missing" -> "Allowed"]], "Method" -> "GaussianProcess", + "PostProcessor" -> MachineLearning`MLProcessor["Identity"], + "Options" -> + Association[ + AssumeDeterministic -> + Association["Value" -> False, "Options" -> Association[]], + "CovarianceType" -> + Association[ + "Value" -> Association[ + "Numerical" -> "SquaredExponential", "Nominal" -> + "HammingDistance"], "Options" -> Association[]], + "EstimationMethod" -> + Association[ + "Value" -> "MaximumPosterior", "Options" -> Association[]], + "OptimizationMethod" -> + Association["Value" -> Automatic, 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All, Expression]; + FrontEnd`Private`$ColorSelectorInitialAlpha = 1; + FrontEnd`Private`$ColorSelectorInitialColor = + RGBColor[0.368417, 0.506779, 0.709798]; + FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; + MathLink`CallFrontEnd[ + FrontEnd`AttachCell[Typeset`box$, + FrontEndResource["RGBColorValueSelector"], { + 0, {Left, Bottom}}, {Left, Top}, + "ClosingActions" -> { + "SelectionDeparture", "ParentChanged", + "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> + Automatic, Method -> "Preemptive"], + RGBColor[0.368417, 0.506779, 0.709798], Editable -> False, + Selectable -> False], ",", + RowBox[{"AbsoluteThickness", "[", "1.6`", "]"}]}], "]"}], + "}"}], ",", + RowBox[{"{", #, "}"}], ",", + RowBox[{"LegendMarkers", "\[Rule]", + RowBox[{"{", + RowBox[{"{", + RowBox[{ + GraphicsBox[{ + AbsoluteThickness[1.], + RGBColor[0.34398, 0.49112, 0.89936], + CircleBox[{0, 0}, + Offset[{1.8, 1.8}, {0., 0.}]]}], ",", "Automatic"}], + "}"}], "}"}]}], ",", + RowBox[{"Joined", "\[Rule]", + RowBox[{"{", "False", "}"}]}], ",", + RowBox[{"LabelStyle", "\[Rule]", + RowBox[{"{", "}"}]}], ",", + RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}]}], "]"}]& ), + Editable -> True], TraditionalForm]}, { + FormBox[ + TemplateBox[{"\"perfect predictions\""}, "LineLegend", + DisplayFunction -> (StyleBox[ + StyleBox[ + PaneBox[ + TagBox[ + GridBox[{{ + TagBox[ + GridBox[{{ + GraphicsBox[{{ + Directive[ + EdgeForm[ + Directive[ + Opacity[0.3], + GrayLevel[0]]], + PointSize[0.5], + GrayLevel[0.2], + Opacity[0.5], + AbsoluteThickness[1.], + AbsoluteDashing[{2, 4}]], { + LineBox[{{0, 10}, {40, 10}}]}}, { + Directive[ + EdgeForm[ + Directive[ + Opacity[0.3], + GrayLevel[0]]], + PointSize[0.5], + GrayLevel[0.2], + Opacity[0.5], + AbsoluteThickness[1.], + AbsoluteDashing[{2, 4}]], {}}}, AspectRatio -> Full, + ImageSize -> {40, 10}, PlotRangePadding -> None, + ImagePadding -> Automatic, + BaselinePosition -> (Scaled[0.1] -> Baseline)], #}}, + GridBoxAlignment -> { + "Columns" -> {Center, Left}, "Rows" -> {{Baseline}}}, + AutoDelete -> False, + GridBoxDividers -> { + "Columns" -> {{False}}, "Rows" -> {{False}}}, + GridBoxItemSize -> { + "Columns" -> {{All}}, "Rows" -> {{All}}}, + GridBoxSpacings -> { + "Columns" -> {{0.5}}, "Rows" -> {{0.8}}}], "Grid"]}}, + GridBoxAlignment -> { + "Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> + False, GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + GridBoxSpacings -> {"Columns" -> {{1}}, "Rows" -> {{0}}}], + "Grid"], Alignment -> Left, AppearanceElements -> None, + ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> + "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { + FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> + False]& ), InterpretationFunction :> (RowBox[{"LineLegend", "[", + RowBox[{ + RowBox[{"{", + RowBox[{"Directive", "[", + RowBox[{ + InterpretationBox[ + ButtonBox[ + TooltipBox[ + GraphicsBox[{{ + GrayLevel[0], + RectangleBox[{0, 0}]}, { + GrayLevel[0], + RectangleBox[{1, -1}]}, { + GrayLevel[0.2], + RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> + "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, + FrameStyle -> GrayLevel[0.13333333333333336`], FrameTicks -> + None, PlotRangePadding -> None, ImageSize -> + Dynamic[{ + Automatic, 1.35 CurrentValue["FontCapHeight"]/ + AbsoluteCurrentValue[Magnification]}]], + StyleBox[ + RowBox[{"GrayLevel", "[", "0.2`", "]"}], NumberMarks -> + False]], Appearance -> None, BaseStyle -> {}, + BaselinePosition -> Baseline, DefaultBaseStyle -> {}, + ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, + If[ + Not[ + AbsoluteCurrentValue["Deployed"]], + SelectionMove[Typeset`box$, All, Expression]; + FrontEnd`Private`$ColorSelectorInitialAlpha = 1; + FrontEnd`Private`$ColorSelectorInitialColor = + GrayLevel[0.2]; + FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; + MathLink`CallFrontEnd[ + FrontEnd`AttachCell[Typeset`box$, + FrontEndResource["GrayLevelColorValueSelector"], { + 0, {Left, Bottom}}, {Left, Top}, + "ClosingActions" -> { + "SelectionDeparture", "ParentChanged", + "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> + Automatic, Method -> "Preemptive"], + GrayLevel[0.2], Editable -> False, Selectable -> False], + ",", + RowBox[{"Opacity", "[", "0.5`", "]"}], ",", + RowBox[{"AbsoluteThickness", "[", "1.`", "]"}], ",", + RowBox[{"AbsoluteDashing", "[", + RowBox[{"{", + RowBox[{"2", ",", "4"}], "}"}], "]"}]}], "]"}], "}"}], + ",", + RowBox[{"{", #, "}"}], ",", + RowBox[{"LegendMarkers", "\[Rule]", "None"}], ",", + RowBox[{"LabelStyle", "\[Rule]", + RowBox[{"{", "}"}]}], ",", + RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}]}], "]"}]& ), + Editable -> True], TraditionalForm]}}, + GridBoxAlignment -> {"Columns" -> {{Left}}}, AutoDelete -> False, + GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + GridBoxSpacings -> {"Columns" -> {{0}}}], "Grid"], TraditionalForm]}, + "Legended", + DisplayFunction->(GridBox[{{ + TagBox[ + ItemBox[ + PaneBox[ + TagBox[#, "SkipImageSizeLevel"], Alignment -> {Center, Baseline}, + BaselinePosition -> Baseline], DefaultBaseStyle -> "Labeled"], + "SkipImageSizeLevel"], + ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}}, + GridBoxAlignment -> {"Columns" -> {{Center}}, "Rows" -> {{Center}}}, + AutoDelete -> False, GridBoxItemSize -> Automatic, + BaselinePosition -> {1, 1}]& ), + Editable->True, + InterpretationFunction->(RowBox[{"Legended", "[", + RowBox[{#, ",", + RowBox[{"Placed", "[", + RowBox[{#2, ",", "After"}], "]"}]}], "]"}]& )]], "Output", + CellChangeTimes->{3.743158652095756*^9, 3.777021383139884*^9}, + CellLabel-> + "Out[1056]=",ExpressionUUID->"894adf6e-b199-45ce-a3df-46ab1eb0cba6"], + +Cell[BoxData["4.283769041590944`"], "Output", + CellChangeTimes->{3.743158652095756*^9, 3.777021383161772*^9}, + CellLabel-> + "Out[1057]=",ExpressionUUID->"71c9157a-a669-4357-aafb-35b88424c96b"], + +Cell[BoxData[ + TagBox[ + StyleBox[ + FrameBox[GridBox[{ + { + ItemBox[ + 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"Spacer1"],StyleBox["\"Method\"", + GrayLevel[0.4], StripOnInput -> False]}, + "RowDefault"], + TagBox[ + TooltipBox["\<\"GaussianProcess\"\>", + TemplateBox[{ + TagBox[ + + DynamicModuleBox[{ + TypeSystem`NestedGrid`PackagePrivate`$state$$ = + Data`UnorderedAssociation[ + "RowCount" -> 6, "Length" -> 6, "InitialType" -> + TypeSystem`Assoc[ + TypeSystem`AnyType, TypeSystem`AnyType, 6], "Shape" -> + TypeSystem`PackageScope`Limited[ + TypeSystem`PackageScope`ColumnShape[ + TypeSystem`PackageScope`KeyValueShape[ + TypeSystem`PackageScope`UnknownShape, + TypeSystem`PackageScope`UnknownShape]], 6, {}], + "InitialData" -> + TypeSystem`PackageScope`CacheHandle[708921681], "Type" -> + TypeSystem`Assoc[ + TypeSystem`AnyType, TypeSystem`AnyType, 6], "HandleQ" -> + True, "RowTarget" -> 20, "Data" -> + TypeSystem`PackageScope`CacheHandle[708921681]], + TypeSystem`NestedGrid`PackagePrivate`$path$$ = {}, + TypeSystem`NestedGrid`PackagePrivate`$pos$$ = 1, + TypeSystem`NestedGrid`PackagePrivate`$grid$$ = + DynamicModule[{ + TypeSystem`NestedGrid`PackagePrivate`renderedGrid = Deploy[ + Style[ + Grid[{{ + Item[ + Pane[ + Pane[ + Annotation[ + RawBoxes[ + StyleBox[ + "AssumeDeterministic", FontFamily -> "Source Code Pro", + FontSize -> 13]], + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[ + 1168182630][ + GeneralUtilities`Slice[ + Key[AssumeDeterministic]]], "Mouse"], + ImageSize -> {{60, Full}, Automatic}, + Alignment -> {Left, Baseline}], + ImageSize -> {{60, Full}, Automatic}], Background -> + GrayLevel[0.95], Alignment -> {Left, Baseline}], + Pane[ + Annotation[ + RawBoxes["False"], + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[ + 1168182630][ + GeneralUtilities`Slice[ + Key[AssumeDeterministic]]], "Mouse"], + ImageSize -> {{60, Full}, Automatic}, + Alignment -> {Left, Baseline}]}, { + Item[ + Pane[ + Pane[ + Annotation["CovarianceType", + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[ + 1168182630][ + GeneralUtilities`Slice[ + Key["CovarianceType"]]], "Mouse"], + ImageSize -> {{134.40000000000003`, Full}, Automatic}, + Alignment -> {Left, Baseline}], + ImageSize -> {{60, Full}, Automatic}], Background -> + GrayLevel[0.95], Alignment -> {Left, Baseline}], + Item[ + Annotation[ + EventHandler[ + MouseAppearance[ + Mouseover[ + + Style[{"Numerical" -> "SquaredExponential", "Nominal" -> + "HammingDistance"}, ShowStringCharacters -> False], + Style[ + + Style[{"Numerical" -> "SquaredExponential", "Nominal" -> + "HammingDistance"}, ShowStringCharacters -> False], + FontColor -> RGBColor[ + 0.27450980392156865`, 0.5372549019607843, + 0.792156862745098]]], "LinkHand"], {"MouseClicked", 1} :> + TypeSystem`NestedGrid`PackagePrivate`updateState[ + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`$path$$, + TypeSystem`NestedGrid`PackagePrivate`$pos$$, + TypeSystem`NestedGrid`PackagePrivate`$grid$$, 1168182630][{ + Key["CovarianceType"]}]], + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[ + 1168182630][ + GeneralUtilities`Slice[ + Key["CovarianceType"]]], "Mouse"]]}, { + Item[ + Pane[ + Pane[ + Annotation["EstimationMethod", + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[ + 1168182630][ + GeneralUtilities`Slice[ + Key["EstimationMethod"]]], "Mouse"], + ImageSize -> {{153.60000000000002`, Full}, Automatic}, + Alignment -> {Left, Baseline}], + ImageSize -> {{60, Full}, Automatic}], Background -> + GrayLevel[0.95], Alignment -> {Left, Baseline}], + Pane[ + Annotation["MaximumPosterior", + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[ + 1168182630][ + GeneralUtilities`Slice[ + Key["EstimationMethod"]]], "Mouse"], + ImageSize -> {{153.60000000000002`, Full}, Automatic}, + Alignment -> {Left, Baseline}]}, { + Item[ + Pane[ + Pane[ + Annotation["OptimizationMethod", + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[ + 1168182630][ + GeneralUtilities`Slice[ + Key["OptimizationMethod"]]], "Mouse"], + ImageSize -> {{172.8, Full}, Automatic}, + Alignment -> {Left, Baseline}], + ImageSize -> {{60, Full}, Automatic}], Background -> + GrayLevel[0.95], Alignment -> {Left, Baseline}], + Pane[ + Annotation[ + RawBoxes[ + StyleBox[ + "Automatic", FontFamily -> "Source Code Pro", FontSize -> + 13]], + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[ + 1168182630][ + GeneralUtilities`Slice[ + Key["OptimizationMethod"]]], "Mouse"], + ImageSize -> {{60, Full}, Automatic}, + Alignment -> {Left, Baseline}]}, { + Item[ + Pane[ + Pane[ + Annotation["SearchMethod", + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[ + 1168182630][ + GeneralUtilities`Slice[ + Key["SearchMethod"]]], "Mouse"], + ImageSize -> {{115.20000000000002`, Full}, Automatic}, + Alignment -> {Left, Baseline}], + ImageSize -> {{60, Full}, Automatic}], Background -> + GrayLevel[0.95], Alignment -> {Left, Baseline}], + Pane[ + Annotation["SimulatedAnnealing", + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[ + 1168182630][ + GeneralUtilities`Slice[ + Key["SearchMethod"]]], "Mouse"], + ImageSize -> {{172.8, Full}, Automatic}, + Alignment -> {Left, Baseline}]}, { + Item[ + Pane[ + Pane[ + Annotation["InputFeatures", + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[ + 1168182630][ + GeneralUtilities`Slice[ + Key["InputFeatures"]]], "Mouse"], + ImageSize -> {{124.80000000000001`, Full}, Automatic}, + Alignment -> {Left, Baseline}], + ImageSize -> {{60, Full}, Automatic}], Background -> + GrayLevel[0.95], Alignment -> {Left, Baseline}], {}}}, + BaseStyle -> {ContextMenu -> { + MenuItem["Copy position to clipboard", + KernelExecute[ + TypeSystem`NestedGrid`PackagePrivate`toCurrentPosition[ + TypeSystem`NestedGrid`PackagePrivate`copyClip]], + MenuEvaluator -> Automatic], + MenuItem["Copy data to clipboard", + KernelExecute[ + TypeSystem`NestedGrid`PackagePrivate`toCurrentData[ + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`copyClip]], + MenuEvaluator -> Automatic], Delimiter, + MenuItem["Paste position in new cell", + KernelExecute[ + TypeSystem`NestedGrid`PackagePrivate`toCurrentPosition[ + TypeSystem`NestedGrid`PackagePrivate`cellPaste]], + MenuEvaluator -> Automatic], + MenuItem["Paste data in new cell", + KernelExecute[ + TypeSystem`NestedGrid`PackagePrivate`toCurrentData[ + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`cellPaste]], + MenuEvaluator -> Automatic]}, FontFamily -> "Verdana", + FontSize -> 12}, Alignment -> Left, RowMinHeight -> 1.5, + Dividers -> All, FrameStyle -> GrayLevel[0.85], + BaseStyle -> {FontFamily -> "Verdana", FontSize -> 12}], + LineBreakWithin -> False, ContextMenu -> {}, NumberMarks -> + False, ShowAutoStyles -> False]], + TypeSystem`NestedGrid`PackagePrivate`initialQ = True, + TypeSystem`NestedGrid`PackagePrivate`self = $Failed}, + Dynamic[ + TypeSystem`NestedGrid`PackagePrivate`setupViewPath[ + TypeSystem`NestedGrid`PackagePrivate`$path$$, If[ + Not[TypeSystem`NestedGrid`PackagePrivate`initialQ], + + Module[{ + TypeSystem`NestedGrid`PackagePrivate`tmpGrid$ = $Failed, + TypeSystem`NestedGrid`PackagePrivate`tmpData$ = + TypeSystem`NestedGrid`PackagePrivate`LookupCacheValue[ + TypeSystem`NestedGrid`PackagePrivate`$state$$["Data"]]}, + TypeSystem`NestedGrid`PackagePrivate`tmpGrid$ = + If[TypeSystem`NestedGrid`PackagePrivate`tmpData$ === + TypeSystem`NestedGrid`PackagePrivate`$NotCached, + TypeSystem`NestedGrid`PackagePrivate`renderedGrid, + TypeSystem`NestedGrid`PackagePrivate`renderGrid[ + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`$path$$, + TypeSystem`NestedGrid`PackagePrivate`$pos$$, + TypeSystem`NestedGrid`PackagePrivate`$grid$$, 1168182630][ + TypeSystem`NestedGrid`PackagePrivate`tmpData$]]; If[ + Not[ + FailureQ[TypeSystem`NestedGrid`PackagePrivate`tmpGrid$]], + TypeSystem`NestedGrid`PackagePrivate`renderedGrid = + TypeSystem`NestedGrid`PackagePrivate`tmpGrid$]; Null]]; + TypeSystem`NestedGrid`PackagePrivate`initialQ = False; + TypeSystem`NestedGrid`PackagePrivate`$pos$$; If[ + FailureQ[ + TypeSystem`NestedGrid`PackagePrivate`renderedGrid], + TypeSystem`SparseGrid[ + TypeSystem`H["(data no longer present)"]], + If[GeneralUtilities`$DebugMode, + + Row[{TypeSystem`NestedGrid`PackagePrivate`renderedGrid, + " ", + TypeSystem`NestedGrid`PackagePrivate`formatState[ + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`$path$$, + TypeSystem`NestedGrid`PackagePrivate`$pos$$]}], + TypeSystem`NestedGrid`PackagePrivate`renderedGrid]]], + TrackedSymbols :> { + TypeSystem`NestedGrid`PackagePrivate`$pos$$}], + DynamicModuleValues :> {}], + TypeSystem`NestedGrid`PackagePrivate`$posCell$$, + TypeSystem`NestedGrid`PackagePrivate`$topBar$$ = Dynamic[ + TypeSystem`NestedGrid`PackagePrivate`alignBar[ + TypeSystem`NestedGrid`PackagePrivate`$state$$][ + TypeSystem`NestedGrid`PackagePrivate`makeFramedBar[ + TypeSystem`PackageScope`Pathbar[ + TypeSystem`NestedGrid`PackagePrivate`$path$$, + TypeSystem`NestedGrid`PackagePrivate`updateState[ + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`$path$$, + TypeSystem`NestedGrid`PackagePrivate`$pos$$, + TypeSystem`NestedGrid`PackagePrivate`$grid$$, + 1168182630]]]], + TrackedSymbols :> { + TypeSystem`NestedGrid`PackagePrivate`$path$$}], + TypeSystem`NestedGrid`PackagePrivate`$bottomBar$$ = Framed[ + Dynamic[ + Replace[ + MouseAnnotation[Null], { + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[ + 1168182630][Null] -> "", + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[ + 1168182630][ + Pattern[TypeSystem`NestedGrid`PackagePrivate`path, + Blank[]]] :> ( + TypeSystem`NestedGrid`PackagePrivate`$lastPath = + TypeSystem`NestedGrid`PackagePrivate`path; + TypeSystem`NestedGrid`PackagePrivate`makePathTrail[ + TypeSystem`NestedGrid`PackagePrivate`path, + TypeSystem`NestedGrid`PackagePrivate`makePathElements]), + Null :> Spacer[10], Blank[] :> Spacer[10]}], + TrackedSymbols :> {}], FrameStyle -> None, ImageMargins -> + 0, FrameMargins -> 0, Alignment -> Top, + ImageSize -> {Automatic, 14}]}, + DynamicBox[ + ToBoxes[ + Column[ + If[TypeSystem`NestedGrid`PackagePrivate`$path$$ == {}, { + TypeSystem`NestedGrid`PackagePrivate`displayScrollBar[ + TypeSystem`NestedGrid`PackagePrivate`$grid$$, + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`$pos$$], + TypeSystem`NestedGrid`PackagePrivate`onDesktopShow[ + TypeSystem`NestedGrid`PackagePrivate`alignBar[ + TypeSystem`NestedGrid`PackagePrivate`$state$$][ + TypeSystem`NestedGrid`PackagePrivate`$bottomBar$$]]}, { + TypeSystem`NestedGrid`PackagePrivate`$topBar$$, + TypeSystem`NestedGrid`PackagePrivate`displayScrollBar[ + TypeSystem`NestedGrid`PackagePrivate`$grid$$, + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`$pos$$], + TypeSystem`NestedGrid`PackagePrivate`onDesktopShow[ + TypeSystem`NestedGrid`PackagePrivate`alignBar[ + TypeSystem`NestedGrid`PackagePrivate`$state$$][ + TypeSystem`NestedGrid`PackagePrivate`$bottomBar$$]]}], + Spacings -> + If[TypeSystem`NestedGrid`PackagePrivate`$path$$ == {}, + 0, {{}, {0, 0.05, 0}}]], StandardForm], + TrackedSymbols :> { + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`$grid$$}], + Initialization :> Block[{$ContextPath = $ContextPath}, + Needs["TypeSystem`"]], DynamicModuleValues :> {}, + BaseStyle -> {LineBreakWithin -> False}, Deinitialization :> + TypeSystem`NestedGrid`PackagePrivate`deleteState[ + TypeSystem`NestedGrid`PackagePrivate`$state$$]], Deploy, + DefaultBaseStyle -> "Deploy"]}, "CopyTag", + DisplayFunction -> (#& ), + InterpretationFunction -> ("Dataset[<>]"& )]], + Annotation[#, + Dataset[ + Association[ + AssumeDeterministic -> False, + "CovarianceType" -> { + "Numerical" -> "SquaredExponential", "Nominal" -> + "HammingDistance"}, "EstimationMethod" -> + 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NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "4" -> + Association[ + "Type" -> "Linear", "Arrays" -> + Association["Weights" -> CompressedData[" +1:eJwtVnc01//3NyJkJIRKhQaiMirer+dFkYSGVZE0jEopaSiiUlltZUSRSAmF +jLyf9/lOUVZIaUmREQqFQku/z/ec3x/3nnPP46977n0M9S27HbxFhISE9kr8 +1xw2Byz29998yFH8f4PX5p2GBjv/Bxr8f1UVXoSmf9m48beuqY9tM6nUuclv +Uo1lyd8z2LDoDGw27eOUTk6GbT7X8GzXG7y5dhGOSbXjNcxP53/QfYhHV/OJ +InEDH2dNyLWLhXM6YbD2cwVTSd7BdP4VMltVAY3SPsFJPWuCv2eCYUz0T7B8 +2YNv64TgiHUx2vxqh7zPM3FcfzqLkZ5IH0mlscOHUyC9rYFEO/6E7x2nGS+h +nHWUxGBojazxFD8t/v5f4oKclBKc9WweKnQmwIJwOVMRhVQwS0a43rmEtegb +A4ufDDMOJXM3hf7SFRkabEXBLv6nHi34KpEDHrxcLNrUA5NsXpFPh29BWGgN +qC4/TFTXu0DNQDfO8BNiE3TyoCtgF1oIy2DehZVoMehKk5QkIeKhKcueo8Rc +v09j0ds0SaFaEDoUF8CLTEM2rrmCV5VbhkOLtdm06lBU9vrHWZ5Zz4UOOnCo +NEJ1pC4gsb4H8vuPgXbxJJaYu4cvsqEQrsy/AtuFpjITl6ts4/Vv+Lu5mypl +6LM/rz6Qv64LsVYDoEraCCbSMAz9fZgUxQeRxwZ5/Iql2aTR7BGNsnXCwNhh 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NeuralNetworks`Private`ScalarFunctionObject[{ + NeuralNetworks`Private`ScalarSymbol[1]}, + NeuralNetworks`Private`ScalarSymbol[2], + Association[ + NeuralNetworks`Private`ScalarSymbol[2] -> { + "ScaledExponentialLinearUnit", + NeuralNetworks`Private`ScalarSymbol[1]}]]], + "$Dimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "6" -> + Association[ + "Type" -> "Dropout", "Arrays" -> Association[], "Parameters" -> + Association[ + "DropoutProbability" -> 0.01, "Method" -> "AlphaDropout"], + "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "7" -> + Association[ + "Type" -> "Linear", "Arrays" -> + Association["Weights" -> CompressedData[" 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Association[ + NeuralNetworks`Private`ScalarSymbol[2] -> { + "ScaledExponentialLinearUnit", + NeuralNetworks`Private`ScalarSymbol[1]}]]], + "$Dimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "9" -> + Association[ + "Type" -> "Linear", "Arrays" -> + Association[ + "Weights" -> + RawArray[ + "Real32",{{-0.2354470044374466, -0.24897904694080353`, \ +-0.08986003696918488, 3.1822207802179037`*^-7, -0.16424331068992615`, + 0.0000482664217997808, + 0.411562979221344, -0.0007890249835327268, \ +-0.08650467544794083, 0.00007644508878001943, -0.08837754279375076, + 0.028878377750515938`, -0.24915724992752075`, \ +-0.000028804261091863737`, -0.1498141586780548, 7.075745290250138*^-14, + 0.057104114443063736`, -0.2937895953655243, \ +-8.46093098516576*^-6, -0.18224309384822845`, 1.5690337704654667`*^-6, + 4.720336164609762*^-6, 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1]]}]], "ScalarFeature" -> True, + "Invertibility" -> "Perfect", "Missing" -> "Allowed"]], + "Model" -> Association["Matrix" -> CompressedData[" +1:eJwBMQPO/CFib1JlAgAAAAoAAAAKAAAA/olVF+FXgT+5XZhMOou2vym3Aqeu +M9u/yuTyUkz44b92gKDWswWAv3SlWEBdoZO/8GkkKXBK4T9ZHnVWmrzcv/HS +AHc32ae/bw8LIa3bSb8kz8UOFpeAPw/9zxvmv7a/lP+tB36a3r832vg/Csje +v9XSCbIaBc8/FBuWuLaDlL8nd31R3qXdv5eNdvLIJOA/Xk/UOv6irz86B6rP +4cMlv8HI3Ue79HI/rEzYlylE5r96G8wI1eTAP0KIYOSlOI8/G2P6r16BkL+G ++xzNgLp0v33g+oAacLA/QOlQjogMZb9wjeWjRHzmP9E6d0Ffck6/Z6mEuJ/W +kj/nGtV61AqYvxn+3Nrpq8i/OajpkL38wD+A+FK/MFvQv/UhDGZheu2/1jwm +xSPcwb8ySzYO4Y66vyOJcNvvJ4Q//tpRPW/4hT/6XxGRV2iBP34eQXIXVbS/ +pM+6uH2+4L/0B3QAe1raP5WnjSHnZ7A/GKDhy/nP0T+16QhpRDjbv9BgXpHs +FuG/R/Fjx5ogqj/D6t6aGvBQv0NSlKCtnuY/p2VU4x9pgj+gnMN3HbqIPx2h +ud+oRd8+aBgmKd/HRD+Qxv6DDz5nP2iA8BcLPdm+CQpmEbZfUj+DOHdo8b1R +PzEAz+8uoea/an+YsW+bgT8KtLPcR1fmv9lZ7hKct7U/2ighYGonqj9I4NNA +s26zP9Ch3LXKX5K/kJC5zoGSor9T01L88y6WP607u/2Zgua/k1rOYZvAHz9h 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10.10332137118733}, "Output" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]]]], + "FinalDimension" -> 10, "Method" -> "Linear"], + "PerformanceGoal" -> Automatic, "Invertibility" -> + "Approximate", "Log" -> + Association[ + "TrainingTime" -> 0.008837, "MaxTrainingMemory" -> 85224, + "DataMemory" -> 10360, "FunctionMemory" -> 23024, + "LanguageVersion" -> {12., 0}, "Date" -> + DateObject[{ + 2019, 9, 9, 13, 40, 28.382701`8.205628703637242}, + "Instant", "Gregorian", 1.], "ProcessorCount" -> 4, + "ProcessorType" -> "x86-64", "OperatingSystem" -> + "MacOSX", "SystemWordLength" -> 64, + "Evaluations" -> {}]]][#, "ImputedVectors", + PerformanceGoal -> "Quality"]& ), "Method" -> + "DimensionReduction", "VectorLength" -> 10, "Output" -> + Association[ + "(f1f2f3f4f5f6f7f8f9f10)" -> + Association["Type" -> "NumericalVector", "Weight" -> 10]], + "Type" -> "NumericalVector", "Version" -> {12., 0}, "ID" -> + 7607846277109504165]], + MachineLearning`MLProcessor["Standardize", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Allowed", "Input" -> + Association[ + "(f1f2f3f4f5f6f7f8f9f10)" -> + Association["Type" -> "NumericalVector", "Weight" -> 10]], + "Mean" -> {0.4472657500000001, 0.0008945390625000002, + 59.84375, 64.921875, 0.0008945390625, 17.44140649999999, + 17.44140649999999, 5.4648440000000145`, 27.324219000000067`, + 22.36328150000004}, + "StandardDeviation" -> {0.20206642566477356`, + 0.0004041034618128391, 11.546652991776448`, + 5.773326495888224, 0.0004041034618128391, + 4.3299948752992545`, 4.329994875299268, 2.5979969265326965`, + 12.989984619131388`, 10.10332137118733}, "Output" -> + Association[ + "(f1f2f3f4f5f6f7f8f9f10)" -> + Association["Type" -> "NumericalVector", "Weight" -> 10]], + "Version" -> {12., 0}, "ID" -> 7793122219627961317]]}, + "Invertibility" -> "Perfect", "Missing" -> "Imputed"]]], "Output" -> + Association[ + "Preprocessor" -> MachineLearning`MLProcessor["ToMLDataset", + Association[ + "Input" -> Association["f1" -> Association["Type" -> "Numerical"]], + "Output" -> + Association[ + "f1" -> Association["Type" -> "Numerical", "Weight" -> 1]], + "Preprocessor" -> MachineLearning`MLProcessor["Sequence", + Association["Processors" -> { + MachineLearning`MLProcessor["List"], + MachineLearning`MLProcessor["WrapMLDataset", + Association[ + "FeatureTypes" -> {"Numerical"}, "FeatureKeys" -> {"f1"}, + "FeatureWeights" -> Automatic, "ExampleWeights" -> + Automatic, "RawExample" -> + Missing["KeyAbsent", "RawExample"]]]}]], "ScalarFeature" -> + True, "Invertibility" -> "Perfect", "Missing" -> "Allowed"]], + "Processor" -> MachineLearning`MLProcessor["Sequence", + Association[ + "Input" -> Association[ + "f1" -> Association["Type" -> "Numerical", "Weight" -> 1]], + "Output" -> + Association[ + "f1" -> Association["Type" -> "Numerical", "Weight" -> 1]], + "Processors" -> { + MachineLearning`MLProcessor["ToVector", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Allowed", "Input" -> + Association[ + "f1" -> Association["Type" -> "Numerical", "Weight" -> 1]], + "Output" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], + "Version" -> {12., 0}, "ID" -> 9142801030103897792]], + MachineLearning`MLProcessor["Standardize", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Allowed", "Input" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], + "Mean" -> {12.036841512210936`}, + "StandardDeviation" -> {8.206762452935592}, "Output" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], + "Version" -> {12., 0}, "ID" -> 8459936381266462824]], + MachineLearning`MLProcessor["FromVector", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Allowed", "Input" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], "Output" -> + Association[ + "f1" -> Association["Type" -> "Numerical", "Weight" -> 1]], + "Version" -> {12., 0}, "ID" -> 5274712724571033848]], + MachineLearning`MLProcessor["FirstValues", + Association[ + "Info" -> Association["Type" -> "Numerical", "Weight" -> 1], + "Key" -> "f1", "Invertibility" -> "Perfect", "Missing" -> + "Allowed"]]}, "Invertibility" -> "Perfect", "Missing" -> + "Allowed"]], "ProbabilityPostprocessor" -> Identity, + "InverseProcessorFunction" -> (12.036841512210936` + + 8.206762452935592 #& ), + "ProcessorFunction" -> (-1.4666979312780413` + + 0.12185073050850838` #& ), "Name" -> "value", + "Quantiles" -> {-1.3714560466149355`, 3.2037723339225077`}], "Prior" -> + Automatic, "Utility" -> (DiracDelta[#2 - #]& ), "Threshold" -> 0, + "PerformanceGoal" -> Automatic, "BatchProcessing" -> Automatic, + "Model" -> Association[ + "NeighborsFunction" -> + MachineLearning`PackageScope`NeighborsFunction["Nearest", + NearestFunction[ + Hold[ + Nearest[CompressedData[" +1:eJwNl3c41m8UxqmIKCMJZURJ2pQkOpSV/EQaRkOhqMwIITREk4RSyV6VHSoc 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TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[2631694][ + GeneralUtilities`Slice[ + Key["DistributionSmoothing"]]], "Mouse"], Background -> + GrayLevel[0.95], Alignment -> {Left, Baseline}], + Pane[ + Annotation[ + RawBoxes["0.5"], + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[2631694][ + GeneralUtilities`Slice[ + Key["DistributionSmoothing"]]], "Mouse"], + ImageSize -> {{60, Full}, Automatic}, + Alignment -> {Left, Baseline}]}, { + Item[ + Annotation[ + EventHandler[ + MouseAppearance[ + Mouseover[ + Pane[ + RawBoxes[ + StyleBox[ + "\"NearestMethod\"", FontColor -> GrayLevel[0.4]]], {{ + 20, Full}, 15}], + Style[ + Pane[ + RawBoxes[ + StyleBox[ + "\"NearestMethod\"", FontColor -> + RGBColor[0.27450980392156865`, 0.5372549019607843, + 0.792156862745098]]], {{20, Full}, 15}], FontColor -> + RGBColor[0.27450980392156865`, 0.5372549019607843, + 0.792156862745098]]], "LinkHand"], {"MouseClicked", 1} :> + TypeSystem`NestedGrid`PackagePrivate`updateState[ + 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FailureQ[TypeSystem`NestedGrid`PackagePrivate`tmpGrid$]], + TypeSystem`NestedGrid`PackagePrivate`renderedGrid = + TypeSystem`NestedGrid`PackagePrivate`tmpGrid$]; Null]]; + TypeSystem`NestedGrid`PackagePrivate`initialQ = False; + TypeSystem`NestedGrid`PackagePrivate`$pos$$; If[ + FailureQ[ + TypeSystem`NestedGrid`PackagePrivate`renderedGrid], + TypeSystem`SparseGrid[ + TypeSystem`H["(data no longer present)"]], + If[GeneralUtilities`$DebugMode, + + Row[{TypeSystem`NestedGrid`PackagePrivate`renderedGrid, + " ", + TypeSystem`NestedGrid`PackagePrivate`formatState[ + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`$path$$, + TypeSystem`NestedGrid`PackagePrivate`$pos$$]}], + TypeSystem`NestedGrid`PackagePrivate`renderedGrid]]], + TrackedSymbols :> { + TypeSystem`NestedGrid`PackagePrivate`$pos$$}], + DynamicModuleValues :> {}], + TypeSystem`NestedGrid`PackagePrivate`$posCell$$, + TypeSystem`NestedGrid`PackagePrivate`$topBar$$ = Dynamic[ + TypeSystem`NestedGrid`PackagePrivate`alignBar[ + TypeSystem`NestedGrid`PackagePrivate`$state$$][ + TypeSystem`NestedGrid`PackagePrivate`makeFramedBar[ + TypeSystem`PackageScope`Pathbar[ + TypeSystem`NestedGrid`PackagePrivate`$path$$, + TypeSystem`NestedGrid`PackagePrivate`updateState[ + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`$path$$, + TypeSystem`NestedGrid`PackagePrivate`$pos$$, + TypeSystem`NestedGrid`PackagePrivate`$grid$$, 2631694]]]], + TrackedSymbols :> { + TypeSystem`NestedGrid`PackagePrivate`$path$$}], + TypeSystem`NestedGrid`PackagePrivate`$bottomBar$$ = Framed[ + Dynamic[ + Replace[ + MouseAnnotation[Null], { + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[ + 2631694][Null] -> "", + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[2631694][ + Pattern[TypeSystem`NestedGrid`PackagePrivate`path, + Blank[]]] :> ( + TypeSystem`NestedGrid`PackagePrivate`$lastPath = + TypeSystem`NestedGrid`PackagePrivate`path; + 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TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[ + 1617004360][ + GeneralUtilities`Slice[ + Key["L2Regularization"]]], "Mouse"], Background -> + GrayLevel[0.95], Alignment -> {Left, Baseline}], + Pane[ + Annotation[ + RawBoxes["1.0"], + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[ + 1617004360][ + GeneralUtilities`Slice[ + Key["L2Regularization"]]], "Mouse"], + ImageSize -> {{60, Full}, Automatic}, + Alignment -> {Left, Baseline}]}, { + Item[ + Annotation[ + EventHandler[ + MouseAppearance[ + Mouseover[ + Pane[ + RawBoxes[ + StyleBox[ + "\"OptimizationMethod\"", FontColor -> + GrayLevel[0.4]]], {{20, Full}, 15}], + Style[ + Pane[ + RawBoxes[ + StyleBox[ + "\"OptimizationMethod\"", FontColor -> + RGBColor[0.27450980392156865`, 0.5372549019607843, + 0.792156862745098]]], {{20, Full}, 15}], FontColor -> + RGBColor[0.27450980392156865`, 0.5372549019607843, + 0.792156862745098]]], "LinkHand"], {"MouseClicked", 1} :> + TypeSystem`NestedGrid`PackagePrivate`updateState[ + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`$path$$, + TypeSystem`NestedGrid`PackagePrivate`$pos$$, + TypeSystem`NestedGrid`PackagePrivate`$grid$$, 1617004360][{ + Key["OptimizationMethod"]}]], + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[ + 1617004360][ + GeneralUtilities`Slice[ + Key["OptimizationMethod"]]], "Mouse"], Background -> + GrayLevel[0.95], Alignment -> {Left, Baseline}], + Pane[ + Annotation["NormalEquation", + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[ + 1617004360][ + GeneralUtilities`Slice[ + Key["OptimizationMethod"]]], "Mouse"], + ImageSize -> {{134.40000000000003`, Full}, Automatic}, + Alignment -> {Left, Baseline}]}}, + BaseStyle -> {ContextMenu -> { + MenuItem["Copy position to clipboard", + KernelExecute[ + TypeSystem`NestedGrid`PackagePrivate`toCurrentPosition[ + TypeSystem`NestedGrid`PackagePrivate`copyClip]], + MenuEvaluator -> Automatic], + MenuItem["Copy data to clipboard", + KernelExecute[ + 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TypeSystem`NestedGrid`PackagePrivate`self = $Failed}, + Dynamic[ + TypeSystem`NestedGrid`PackagePrivate`setupViewPath[ + TypeSystem`NestedGrid`PackagePrivate`$path$$, If[ + Not[TypeSystem`NestedGrid`PackagePrivate`initialQ], + + Module[{ + TypeSystem`NestedGrid`PackagePrivate`tmpGrid$ = $Failed, + TypeSystem`NestedGrid`PackagePrivate`tmpData$ = + TypeSystem`NestedGrid`PackagePrivate`LookupCacheValue[ + TypeSystem`NestedGrid`PackagePrivate`$state$$["Data"]]}, + TypeSystem`NestedGrid`PackagePrivate`tmpGrid$ = + If[TypeSystem`NestedGrid`PackagePrivate`tmpData$ === + TypeSystem`NestedGrid`PackagePrivate`$NotCached, + TypeSystem`NestedGrid`PackagePrivate`renderedGrid, + TypeSystem`NestedGrid`PackagePrivate`renderGrid[ + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`$path$$, + TypeSystem`NestedGrid`PackagePrivate`$pos$$, + TypeSystem`NestedGrid`PackagePrivate`$grid$$, 1617004360][ + TypeSystem`NestedGrid`PackagePrivate`tmpData$]]; If[ + Not[ + FailureQ[TypeSystem`NestedGrid`PackagePrivate`tmpGrid$]], + TypeSystem`NestedGrid`PackagePrivate`renderedGrid = + TypeSystem`NestedGrid`PackagePrivate`tmpGrid$]; Null]]; + TypeSystem`NestedGrid`PackagePrivate`initialQ = False; + TypeSystem`NestedGrid`PackagePrivate`$pos$$; If[ + FailureQ[ + TypeSystem`NestedGrid`PackagePrivate`renderedGrid], + TypeSystem`SparseGrid[ + TypeSystem`H["(data no longer present)"]], + If[GeneralUtilities`$DebugMode, + + Row[{TypeSystem`NestedGrid`PackagePrivate`renderedGrid, + " ", + TypeSystem`NestedGrid`PackagePrivate`formatState[ + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`$path$$, + TypeSystem`NestedGrid`PackagePrivate`$pos$$]}], + TypeSystem`NestedGrid`PackagePrivate`renderedGrid]]], + TrackedSymbols :> { + TypeSystem`NestedGrid`PackagePrivate`$pos$$}], + DynamicModuleValues :> {}], + TypeSystem`NestedGrid`PackagePrivate`$posCell$$, + TypeSystem`NestedGrid`PackagePrivate`$topBar$$ = Dynamic[ + TypeSystem`NestedGrid`PackagePrivate`alignBar[ + TypeSystem`NestedGrid`PackagePrivate`$state$$][ + TypeSystem`NestedGrid`PackagePrivate`makeFramedBar[ + TypeSystem`PackageScope`Pathbar[ + TypeSystem`NestedGrid`PackagePrivate`$path$$, + TypeSystem`NestedGrid`PackagePrivate`updateState[ + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`$path$$, + TypeSystem`NestedGrid`PackagePrivate`$pos$$, + TypeSystem`NestedGrid`PackagePrivate`$grid$$, + 1617004360]]]], + TrackedSymbols :> { + TypeSystem`NestedGrid`PackagePrivate`$path$$}], + TypeSystem`NestedGrid`PackagePrivate`$bottomBar$$ = Framed[ + Dynamic[ + Replace[ + MouseAnnotation[Null], { + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[ + 1617004360][Null] -> "", + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[ + 1617004360][ + Pattern[TypeSystem`NestedGrid`PackagePrivate`path, + Blank[]]] :> ( + TypeSystem`NestedGrid`PackagePrivate`$lastPath = + TypeSystem`NestedGrid`PackagePrivate`path; + 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Annotation[#, + Dataset[ + Association[ + "L1Regularization" -> 0, "L2Regularization" -> 1., + "OptimizationMethod" -> "NormalEquation"], + + TypeSystem`Struct[{ + "L1Regularization", "L2Regularization", + "OptimizationMethod"}, { + TypeSystem`Atom[Integer], + TypeSystem`Atom[Real], + TypeSystem`Atom[String]}], + Association["ID" -> 121040947837922]], "Tooltip"]& ]}, + { + + TemplateBox[{ + TemplateBox[{5}, "Spacer1"],StyleBox[ + "\"Single evaluation time\"", + GrayLevel[0.4], StripOnInput -> False]}, + "RowDefault"], + + TemplateBox[{ + "1.53`", + RowBox[{ + "\"ms\"", "\[InvisibleSpace]", "\"/\"", "\[InvisibleSpace]", + "\"example\""}],"milliseconds per example",FractionBox[ + "\"Milliseconds\"", "\"Examples\""]}, + "Quantity"]}, + { + + TemplateBox[{ + TemplateBox[{5}, "Spacer1"],StyleBox[ + "\"Batch evaluation speed\"", + GrayLevel[0.4], StripOnInput -> False]}, + "RowDefault"], + + TemplateBox[{ + "289.`", + RowBox[{ + "\"examples\"", "\[InvisibleSpace]", "\"/\"", + 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+ NeuralNetworks`Private`ScalarSymbol[1]}]]], + "$Dimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "6" -> + Association[ + "Type" -> "Dropout", "Arrays" -> Association[], "Parameters" -> + Association[ + "DropoutProbability" -> 0.01, "Method" -> "AlphaDropout"], + "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "7" -> + Association[ + "Type" -> "Linear", "Arrays" -> + Association["Weights" -> CompressedData[" +1:eJwtl2lUj4/TxpUWtGkvUpaUVEoq1feeqdBCCRFSyFLZd0WUSpaijZKtIhQR +idbvPYNsRdZEWcuukC0V4vn9z3lezJwz53ozL64513wGzF3uGyLbrVu31T3+ +a75zwl1XrZqzfrLC/4bgOUtG2Cz5n2jz/9Xj+2M4U7ocBo8fCdGTPgj1e3dg +n+I+UOttQLPDmsBl1CnSTDLgCGgEFT9V7tE5TmxTn8rjn/bmI+GmtKAxlE/Z 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"Parameters" -> + Association[ + "Function" -> NeuralNetworks`ValidatedParameter[ + NeuralNetworks`Private`ScalarFunctionObject[{ + NeuralNetworks`Private`ScalarSymbol[1]}, + NeuralNetworks`Private`ScalarSymbol[2], + Association[ + NeuralNetworks`Private`ScalarSymbol[2] -> { + "ScaledExponentialLinearUnit", + NeuralNetworks`Private`ScalarSymbol[1]}]]], + "$Dimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "6" -> + Association[ + "Type" -> "Dropout", "Arrays" -> Association[], + "Parameters" -> + Association[ + "DropoutProbability" -> 0.01, "Method" -> "AlphaDropout"], + "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "7" -> + Association[ + "Type" -> "Linear", "Arrays" -> + 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"Parameters" -> + Association[ + "DropoutProbability" -> 0.01, "Method" -> "AlphaDropout"], + "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "4" -> + Association[ + "Type" -> "Linear", "Arrays" -> + Association["Weights" -> CompressedData[" +1:eJwtl3k0le/XxhFlyJhZhigJGc7Bcc5z3xKlSUkjlVDRnNIglTKVDJnHQhQZ +MmU4xznPvokklZlUikjRpChNUt7vb633j73X2utaa+//9nV95u3y2eAtIiQk +dFz8v7bB02+pr6+n/8aZ/xu8PA8xGYf+JzL+v6Iv17Gm5uXwmkrOs3rvb682 +VfCsTt2E+cXrKqt/bGrmLX+VVv1udWF1Td4Pnmp1ovWvSRHejtg068yBbTzn +bWuqD8WLWj81aGSZzOXz7BeuZJ+t0OS5vtSvjg12tD706ZhV9QsfloyBSPUO +7q1q181p1QVaztV7nwVXH5X0rnrfepNlY/aZ1zgVbb3Xa1u1wnMvll9WaDVz +r4h13m5zlnFzBSvnhnrV/Wk11guPQp5O/jnWUYcA6/WLs3mPIMr6U5mr1YjI +VV7hu/TqUHV3WlOVj/yLaRBq30n/of9x/jQIBO9PRUPA9kuos+MSjO1SJbKf +SlCdmCLV0fcazQ75hqbP/kU+02UocMVZ8NNxQZtEzglGOo7B4rxsGHhSDK6C 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-0.07219298928976059, + 0.11720737814903259`, -0.03683655336499214, + 0.06374551355838776, 0.051091983914375305`, + 0.022113658487796783`, 0.013402842916548252`, + 0.023585110902786255`, + 0.11503149569034576`, -0.14928454160690308`}]], + "Parameters" -> + Association[ + "OutputDimensions" -> {50}, "$OutputSize" -> 50, + "$InputSize" -> 50, "$InputDimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "5" -> + Association[ + "Type" -> "Elementwise", "Arrays" -> Association[], + "Parameters" -> + Association["Function" -> NeuralNetworks`ValidatedParameter[ + NeuralNetworks`Private`ScalarFunctionObject[{ + NeuralNetworks`Private`ScalarSymbol[1]}, + NeuralNetworks`Private`ScalarSymbol[2], + Association[ + NeuralNetworks`Private`ScalarSymbol[2] -> { + "ScaledExponentialLinearUnit", + NeuralNetworks`Private`ScalarSymbol[1]}]]], + 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NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "8" -> + Association[ + "Type" -> "Elementwise", "Arrays" -> Association[], + "Parameters" -> + Association["Function" -> NeuralNetworks`ValidatedParameter[ + NeuralNetworks`Private`ScalarFunctionObject[{ + NeuralNetworks`Private`ScalarSymbol[1]}, + NeuralNetworks`Private`ScalarSymbol[2], + Association[ + NeuralNetworks`Private`ScalarSymbol[2] -> { + "ScaledExponentialLinearUnit", + NeuralNetworks`Private`ScalarSymbol[1]}]]], + "$Dimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "9" -> + Association[ + "Type" -> "Dropout", "Arrays" -> Association[], "Parameters" -> + Association[ + "DropoutProbability" -> 0.01, "Method" -> "AlphaDropout"], + "Inputs" -> + Association[ + 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NeuralNetworks`Private`ScalarFunctionObject[{ + NeuralNetworks`Private`ScalarSymbol[1]}, + NeuralNetworks`Private`ScalarSymbol[2], + Association[ + NeuralNetworks`Private`ScalarSymbol[2] -> { + "ScaledExponentialLinearUnit", + NeuralNetworks`Private`ScalarSymbol[1]}]]], + "$Dimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "6" -> + Association[ + "Type" -> "Dropout", "Arrays" -> Association[], + "Parameters" -> + Association[ + "DropoutProbability" -> 0.01, "Method" -> "AlphaDropout"], + "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "7" -> + Association[ + "Type" -> "Linear", "Arrays" -> + Association["Weights" -> CompressedData[" 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0.06695396453142166, -0.04421142116189003, + 0.04527350515127182, 0.05400398373603821, + 0.04807491600513458, -0.04617276042699814, + 0.06639724224805832, 0.059555668383836746`, + 0.06397930532693863, 0.0501621775329113, + 0.04851068556308746, 0.020034441724419594`, + 0.05593266710639, 0.03194049000740051, + 0.08206041902303696, 0.05636017397046089, + 0.046284835785627365`, 0.05217456817626953, + 0.07411400973796844, -0.06609389930963516, \ +-0.006233487278223038, 0.014015790075063705`, 0.05377897247672081, + 0.021214351058006287`, 0.06666381657123566, + 0.07277671992778778, 0.06651284545660019, + 0.08641349524259567, 0.04778042063117027, + 0.014938417822122574`, 0.01920292340219021, + 0.04885055497288704, 0.07133027911186218, + 0.07900992035865784, 0.05677283927798271, + 0.06566204130649567, -0.009689396247267723, + 0.060782987624406815`, + 0.048028651624917984`, -0.003381336573511362, + 0.03239251673221588, -0.0027036231476813555`, + 0.06622853130102158, 0.03210166469216347, + 0.07999078929424286, 0.001721886801533401, + 0.06689558923244476, 0.07132942974567413, + 0.07546238601207733, -0.19591806828975677`}]], + "Parameters" -> + Association[ + "OutputDimensions" -> {50}, "$OutputSize" -> 50, + "$InputSize" -> 50, "$InputDimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "8" -> + Association[ + "Type" -> "Elementwise", "Arrays" -> Association[], + "Parameters" -> + Association[ + "Function" -> NeuralNetworks`ValidatedParameter[ + NeuralNetworks`Private`ScalarFunctionObject[{ + NeuralNetworks`Private`ScalarSymbol[1]}, + NeuralNetworks`Private`ScalarSymbol[2], + Association[ + NeuralNetworks`Private`ScalarSymbol[2] -> { + "ScaledExponentialLinearUnit", + NeuralNetworks`Private`ScalarSymbol[1]}]]], + "$Dimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "9" -> + Association[ + "Type" -> "Dropout", "Arrays" -> Association[], + "Parameters" -> + Association[ + "DropoutProbability" -> 0.01, "Method" -> "AlphaDropout"], + "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], + "10" -> Association[ + "Type" -> "Linear", "Arrays" -> + Association["Weights" -> CompressedData[" +1:eJwtl3k0le/XxqUQlRRJGmQqQ0XO4Jxz74MkIVQaNKgUSZJK80hmIZXITDKH +OOMz3I80KkkqKcoYSvMgVKr3+1vr/WPvtfbaf+117bWu66O/bY+Hn6KCgsL+ +sf81j62HFwUHbz26Svl/w/atgSyrwP8trf6/9tqvBHLJBrzb2QpuP/QD4zWb +YJODN84ccxROfAmFNdfDwIw4BkFN4eCnNRvN+7cFAi3tIWhKDqivjYcGo5XQ +//EAOE85Azs6k/HytRno+HldGBO6Cs75kqghNh7aylNAN/YsXN9kC/FFNsC6 +0YAcw/6g0Gu7IeBfKvwSRsCYgovQ6RYFqrVRyO5sGNgzdvCJy0YS1nM0uAKj 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-> {1.1, 0.5}, ItemSize -> {Automatic, 1.4}], + "Tooltip"]& ], + TagBox[ + TooltipBox[{ + AbsolutePointSize[4], + GrayLevel[0.5], + PointBox[{-3., 2.}]}, + TagBox[ + GridBox[{{ + StyleBox["\"id\"", Bold, StripOnInput -> False], "16"}, { + StyleBox["\"name\"", Bold, StripOnInput -> False], + "\".Nodes.6.Arrays.Weights\""}, { + StyleBox["\"op\"", Bold, StripOnInput -> False], "\"null\""}, { + StyleBox["\"param\"", Bold, StripOnInput -> False], + RowBox[{"\[LeftAssociation]", "\[RightAssociation]"}]}, { + StyleBox["\"attrs\"", Bold, StripOnInput -> False], + RowBox[{"\[LeftAssociation]", "\[RightAssociation]"}]}, { + StyleBox["\"inputs\"", Bold, StripOnInput -> False], + RowBox[{"{", "}"}]}}, + GridBoxAlignment -> {"Columns" -> {{Left}}}, AutoDelete -> False, + GridBoxDividers -> {"Columns" -> {{True}}, "Rows" -> {{True}}}, + GridBoxItemSize -> {"Columns" -> {{Automatic}}, "Rows" -> {{1.4}}}, + GridBoxSpacings -> {"Columns" -> {{1.1}}, "Rows" -> {{0.5}}}, + BaseStyle -> {FontFamily -> "Source Code Pro"}, FrameStyle -> + GrayLevel[0.85]], "Grid"]], Annotation[#, + Grid[{{ + Style["id", Bold], 16}, { + Style["name", Bold], ".Nodes.6.Arrays.Weights"}, { + Style["op", Bold], "null"}, { + Style["param", Bold], + Association[]}, { + Style["attrs", Bold], + Association[]}, { + Style["inputs", Bold], {}}}, Alignment -> Left, + BaseStyle -> {FontFamily -> "Source Code Pro"}, Dividers -> All, + FrameStyle -> GrayLevel[0.85], Alignment -> {Left, Baseline}, + Spacings -> {1.1, 0.5}, ItemSize -> {Automatic, 1.4}], + "Tooltip"]& ], + TagBox[ + TooltipBox[{ + AbsolutePointSize[4], + GrayLevel[0.5], + PointBox[{-3., 3.}]}, + TagBox[ + GridBox[{{ + StyleBox["\"id\"", Bold, StripOnInput -> False], "17"}, { + StyleBox["\"name\"", Bold, StripOnInput -> False], + "\".Nodes.6.Arrays.Biases\""}, { + StyleBox["\"op\"", Bold, StripOnInput -> False], "\"null\""}, { + StyleBox["\"param\"", Bold, StripOnInput -> False], + RowBox[{"\[LeftAssociation]", "\[RightAssociation]"}]}, { + 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{Automatic, 1.4}], + "Tooltip"]& ], + TagBox[ + TooltipBox[{ + AbsolutePointSize[6], + GrayLevel[0], + PointBox[{-1.9999999999999998`, 2.}]}, + TagBox[ + GridBox[{{ + StyleBox["\"id\"", Bold, StripOnInput -> False], "18"}, { + StyleBox["\"name\"", Bold, StripOnInput -> False], + "\".Nodes.6\""}, { + StyleBox["\"op\"", Bold, StripOnInput -> False], + "\"FullyConnected\""}, { + StyleBox["\"param\"", Bold, StripOnInput -> False], + RowBox[{"\[LeftAssociation]", "\[RightAssociation]"}]}, { + StyleBox["\"attrs\"", Bold, StripOnInput -> False], + TagBox[ + GridBox[{{ + StyleBox["\"no_bias\"", Bold, StripOnInput -> False], + StyleBox[ + "\"False\"", ShowStringCharacters -> True, StripOnInput -> + False]}, { + StyleBox["\"num_hidden\"", Bold, StripOnInput -> False], + StyleBox[ + "\"1\"", ShowStringCharacters -> True, StripOnInput -> + False]}}, GridBoxAlignment -> {"Columns" -> {{Left}}}, + AutoDelete -> False, + GridBoxDividers -> { + "Columns" -> {False, {True}, False}, + "Rows" -> {False, {True}, False}}, + GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + GridBoxSpacings -> {"Columns" -> {{1.1}}, "Rows" -> {{0.5}}}, + FrameStyle -> GrayLevel[0.85]], "Grid"]}, { + StyleBox["\"inputs\"", Bold, StripOnInput -> False], + RowBox[{"{", + RowBox[{ + RowBox[{"{", + RowBox[{"15", ",", "0", ",", "0"}], "}"}], ",", + RowBox[{"{", + RowBox[{"16", ",", "0", ",", "0"}], "}"}], ",", + RowBox[{"{", + RowBox[{"17", ",", "0", ",", "0"}], "}"}]}], "}"}]}}, + GridBoxAlignment -> {"Columns" -> {{Left}}}, AutoDelete -> False, + GridBoxDividers -> {"Columns" -> {{True}}, "Rows" -> {{True}}}, + GridBoxItemSize -> {"Columns" -> {{Automatic}}, "Rows" -> {{1.4}}}, + GridBoxSpacings -> {"Columns" -> {{1.1}}, "Rows" -> {{0.5}}}, + BaseStyle -> {FontFamily -> "Source Code Pro"}, FrameStyle -> + GrayLevel[0.85]], "Grid"]], Annotation[#, + Grid[{{ + Style["id", Bold], 18}, { + Style["name", Bold], ".Nodes.6"}, { + Style["op", Bold], "FullyConnected"}, { + Style["param", Bold], + Association[]}, { + Style["attrs", Bold], + Grid[{{ + Style["no_bias", Bold], + Style["False", ShowStringCharacters -> True]}, { + Style["num_hidden", Bold], + Style["1", ShowStringCharacters -> True]}}, Alignment -> Left, + Spacings -> {1.1, 0.5}, Dividers -> Center, FrameStyle -> + GrayLevel[0.85]]}, { + Style["inputs", Bold], {{15, 0, 0}, {16, 0, 0}, {17, 0, 0}}}}, + Alignment -> Left, BaseStyle -> {FontFamily -> "Source Code Pro"}, + Dividers -> All, FrameStyle -> GrayLevel[0.85], + Alignment -> {Left, Baseline}, Spacings -> {1.1, 0.5}, + ItemSize -> {Automatic, 1.4}], "Tooltip"]& ], + TagBox[ + TooltipBox[{ + AbsolutePointSize[6], + Hue[0.11, 1, 0.75], + PointBox[{-0.9999999999999999, 2.}]}, + TagBox[ + GridBox[{{ + StyleBox["\"id\"", Bold, StripOnInput -> False], "19"}, { + StyleBox["\"name\"", Bold, StripOnInput -> False], + "\".Outputs.Output\""}, { + StyleBox["\"op\"", Bold, StripOnInput -> False], "\"_copy\""}, { + StyleBox["\"param\"", Bold, StripOnInput -> False], + RowBox[{"\[LeftAssociation]", "\[RightAssociation]"}]}, { + StyleBox["\"attrs\"", Bold, StripOnInput -> False], + RowBox[{"\[LeftAssociation]", "\[RightAssociation]"}]}, { + StyleBox["\"inputs\"", Bold, StripOnInput -> False], + RowBox[{"{", + RowBox[{"{", + RowBox[{"18", ",", "0", ",", "0"}], "}"}], "}"}]}}, + GridBoxAlignment -> {"Columns" -> {{Left}}}, AutoDelete -> False, + GridBoxDividers -> {"Columns" -> {{True}}, "Rows" -> {{True}}}, + GridBoxItemSize -> {"Columns" -> {{Automatic}}, "Rows" -> {{1.4}}}, + GridBoxSpacings -> {"Columns" -> {{1.1}}, "Rows" -> {{0.5}}}, + BaseStyle -> {FontFamily -> "Source Code Pro"}, FrameStyle -> + GrayLevel[0.85]], "Grid"]], Annotation[#, + Grid[{{ + Style["id", Bold], 19}, { + Style["name", Bold], ".Outputs.Output"}, { + Style["op", Bold], "_copy"}, { + Style["param", Bold], + Association[]}, { + Style["attrs", Bold], + Association[]}, { + Style["inputs", Bold], {{18, 0, 0}}}}, Alignment -> Left, + BaseStyle -> {FontFamily -> "Source Code Pro"}, Dividers -> All, + FrameStyle -> GrayLevel[0.85], Alignment -> {Left, Baseline}, + Spacings -> {1.1, 0.5}, ItemSize -> {Automatic, 1.4}], + "Tooltip"]& ], + TagBox[ + TooltipBox[{ + AbsolutePointSize[4], + GrayLevel[0.5], + PointBox[{1.2246467991473532`*^-16, 2.}]}, "Null"], + Annotation[#, Null, "Tooltip"]& ]}}, + StyleBox[{{{ + InsetBox[ + FormBox["0", TraditionalForm], + Offset[{0, 5}, {-8., 4.898587196589413*^-16}], {0., -0.17}, + Automatic, {1, 0}], + InsetBox[ + FormBox["1", TraditionalForm], + Offset[{0, 5}, {-8., 1.0000000000000004`}], {0., -0.17}, + Automatic, {1, 0}], + InsetBox[ + FormBox["2", TraditionalForm], + Offset[{0, 5}, {-8., 2.0000000000000004`}], {0., -0.17}, + Automatic, {1, 0}], + InsetBox[ + FormBox["3", TraditionalForm], + Offset[{0, 5}, {-8., 3.0000000000000004`}], {0., -0.17}, + Automatic, {1, 0}], + InsetBox[ + FormBox["4", TraditionalForm], + Offset[{0, 5}, {-8., 4.000000000000001}], {0., -0.17}, Automatic, { + 1, 0}], + InsetBox[ + FormBox["5", 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FormBox["\"\"", TraditionalForm], + Offset[{0, -5}, {-3., 2.}], {0, 1.}, Automatic, {1, 0}], + InsetBox[ + FormBox["\"\"", TraditionalForm], + Offset[{0, -5}, {-3., 3.}], {0, 1.}, Automatic, {1, 0}], + InsetBox[ + FormBox["\"FC\"", TraditionalForm], + Offset[{0, -6}, {-1.9999999999999998`, 2.}], {0, 1.}, Automatic, {1, + 0}], + InsetBox[ + FormBox["\"c\"", TraditionalForm], + Offset[{0, -6}, {-0.9999999999999999, 2.}], {0, 1.}, Automatic, {1, + 0}], + InsetBox[ + FormBox["\"\"", TraditionalForm], + Offset[{0, -5}, {1.2246467991473532`*^-16, 2.}], {0, 1.}, + Automatic, {1, 0}]}}}, FontSize -> 7, StripOnInput -> False]}, + ImageSize -> {310., 200.85000000000005`}, AspectRatio -> Full, + PlotRangePadding -> 0, + ImagePadding -> {{23.99999999999998, 6}, {15.000000000000005`, + 10.850000000000017`}}, ImageMargins -> 0, + BaseStyle -> {TooltipBoxOptions -> {TooltipDelay -> 0.08}}],FormBox[ + FormBox[ + TemplateBox[{ + "\"Tensor\"", "\"BatchNorm\"", "\"tanh\"", "\"FullyConnected\"", + "\"_copy\""}, "PointLegend", DisplayFunction -> (FormBox[ + StyleBox[ + StyleBox[ + PaneBox[ + TagBox[ + GridBox[{{ + TemplateBox[{ + GraphicsBox[{{}, { + Directive[ + EdgeForm[ + Directive[ + Opacity[0.3], + GrayLevel[0]]], + PointSize[0.5], + AbsoluteThickness[1.6], + GrayLevel[0.5], + AbsolutePointSize[4]], { + Directive[ + EdgeForm[ + Directive[ + Opacity[0.3], + GrayLevel[0]]], + PointSize[0.5], + AbsoluteThickness[1.6], + GrayLevel[0.5], + AbsolutePointSize[4]], + PointBox[ + NCache[{ + Scaled[{ + Rational[1, 2], + Rational[1, 2]}]}, { + Scaled[{0.5, 0.5}]}]]}}}, AspectRatio -> Full, + ImageSize -> {12, 12}, PlotRangePadding -> None, + ImagePadding -> Automatic, + BaselinePosition -> (Scaled[0.23333333333333334`] -> + Baseline)], "\" \"", #}, "RowDefault"], + TemplateBox[{ + GraphicsBox[{{}, { + Directive[ + EdgeForm[ + Directive[ + Opacity[0.3], + GrayLevel[0]]], + PointSize[0.5], + AbsoluteThickness[1.6], + Hue[0.11, 1, 0.75], + AbsolutePointSize[6]], { + Directive[ + EdgeForm[ + Directive[ + Opacity[0.3], + GrayLevel[0]]], + PointSize[0.5], + AbsoluteThickness[1.6], + Hue[0.11, 1, 0.75], + AbsolutePointSize[6]], + PointBox[ + NCache[{ + Scaled[{ + Rational[1, 2], + Rational[1, 2]}]}, { + Scaled[{0.5, 0.5}]}]]}}}, AspectRatio -> Full, + ImageSize -> {12, 12}, PlotRangePadding -> None, + ImagePadding -> Automatic, + BaselinePosition -> (Scaled[0.23333333333333334`] -> + Baseline)], "\" \"", #2}, "RowDefault"], + TemplateBox[{ + GraphicsBox[{{}, { + Directive[ + EdgeForm[ + Directive[ + Opacity[0.3], + GrayLevel[0]]], + PointSize[0.5], + AbsoluteThickness[1.6], + Hue[0.08, 0.9, 0.8], + AbsolutePointSize[6]], { + Directive[ + EdgeForm[ + Directive[ + Opacity[0.3], + GrayLevel[0]]], + PointSize[0.5], + AbsoluteThickness[1.6], + Hue[0.08, 0.9, 0.8], + AbsolutePointSize[6]], + PointBox[ + NCache[{ + Scaled[{ + Rational[1, 2], + Rational[1, 2]}]}, { + Scaled[{0.5, 0.5}]}]]}}}, AspectRatio -> Full, + ImageSize -> {12, 12}, PlotRangePadding -> None, + ImagePadding -> Automatic, + BaselinePosition -> (Scaled[0.23333333333333334`] -> + Baseline)], "\" \"", #3}, "RowDefault"], + TemplateBox[{ + GraphicsBox[{{}, { + Directive[ + EdgeForm[ + Directive[ + Opacity[0.3], + GrayLevel[0]]], + PointSize[0.5], + AbsoluteThickness[1.6], + GrayLevel[0], + AbsolutePointSize[6]], { + Directive[ + EdgeForm[ + Directive[ + Opacity[0.3], + GrayLevel[0]]], + PointSize[0.5], + AbsoluteThickness[1.6], + GrayLevel[0], + AbsolutePointSize[6]], + PointBox[ + NCache[{ + Scaled[{ + Rational[1, 2], + Rational[1, 2]}]}, { + Scaled[{0.5, 0.5}]}]]}}}, AspectRatio -> Full, + ImageSize -> {12, 12}, PlotRangePadding -> None, + ImagePadding -> Automatic, + BaselinePosition -> (Scaled[0.23333333333333334`] -> + Baseline)], "\" \"", #4}, "RowDefault"], + TemplateBox[{ + GraphicsBox[{{}, { + Directive[ + EdgeForm[ + Directive[ + Opacity[0.3], + GrayLevel[0]]], + PointSize[0.5], + AbsoluteThickness[1.6], + Hue[0.11, 1, 0.75], + AbsolutePointSize[6]], { + Directive[ + EdgeForm[ + Directive[ + Opacity[0.3], + GrayLevel[0]]], + PointSize[0.5], + AbsoluteThickness[1.6], + Hue[0.11, 1, 0.75], + AbsolutePointSize[6]], + PointBox[ + NCache[{ + Scaled[{ + Rational[1, 2], + Rational[1, 2]}]}, { + Scaled[{0.5, 0.5}]}]]}}}, AspectRatio -> Full, + ImageSize -> {12, 12}, PlotRangePadding -> None, + ImagePadding -> Automatic, + BaselinePosition -> (Scaled[0.23333333333333334`] -> + Baseline)], "\" \"", #5}, "RowDefault"]}}, + GridBoxAlignment -> { + "Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, AutoDelete -> + False, GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Grid"], + Alignment -> Left, AppearanceElements -> None, + ImageMargins -> {{2, 2}, {2, 2}}, ImageSizeAction -> + "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { + FontSize -> 8, FontFamily -> "Arial"}, Background -> Automatic, + StripOnInput -> False], TraditionalForm]& ), + InterpretationFunction :> (RowBox[{"PointLegend", "[", + RowBox[{ + RowBox[{"{", + RowBox[{ + RowBox[{"Directive", "[", + RowBox[{ + InterpretationBox[ + ButtonBox[ + TooltipBox[ + GraphicsBox[{{ + GrayLevel[0], + RectangleBox[{0, 0}]}, { + GrayLevel[0], + RectangleBox[{1, -1}]}, { + GrayLevel[0.5], + RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> + "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, + FrameStyle -> GrayLevel[0.33333333333333337`], FrameTicks -> + None, PlotRangePadding -> None, ImageSize -> + Dynamic[{ + Automatic, 1.35 CurrentValue["FontCapHeight"]/ + AbsoluteCurrentValue[Magnification]}]], + StyleBox[ + RowBox[{"GrayLevel", "[", "0.5`", "]"}], NumberMarks -> + False]], Appearance -> None, BaseStyle -> {}, + BaselinePosition -> Baseline, DefaultBaseStyle -> {}, + ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, + If[ + Not[ + AbsoluteCurrentValue["Deployed"]], + SelectionMove[Typeset`box$, All, Expression]; + FrontEnd`Private`$ColorSelectorInitialAlpha = 1; + FrontEnd`Private`$ColorSelectorInitialColor = + GrayLevel[0.5]; + FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; + MathLink`CallFrontEnd[ + FrontEnd`AttachCell[Typeset`box$, + FrontEndResource["GrayLevelColorValueSelector"], { + 0, {Left, Bottom}}, {Left, Top}, + "ClosingActions" -> { + "SelectionDeparture", "ParentChanged", + "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> + Automatic, Method -> "Preemptive"], + GrayLevel[0.5], Editable -> False, Selectable -> False], + ",", + RowBox[{"AbsolutePointSize", "[", "4", "]"}]}], "]"}], ",", + RowBox[{"Directive", "[", + RowBox[{ + InterpretationBox[ + ButtonBox[ + TooltipBox[ + GraphicsBox[{{ + GrayLevel[0], + RectangleBox[{0, 0}]}, { + GrayLevel[0], + RectangleBox[{1, -1}]}, { + Hue[0.11, 1, 0.75], + RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> + "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, + FrameStyle -> Hue[0.11, 1., 0.5], FrameTicks -> None, + PlotRangePadding -> None, ImageSize -> + Dynamic[{ + Automatic, 1.35 CurrentValue["FontCapHeight"]/ + 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Annotation[#, {"Nodes", "2"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"10\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "2"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"3\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "3"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "3"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"100\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "3"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"4\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "4"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "4"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"100\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "4"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"5\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "5"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "5"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"100\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "5"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"6\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "6"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "6"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"100\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "6"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"7\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "7"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "7"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"100\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "7"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"8\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "8"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "8"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"100\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "8"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"9\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "9"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "9"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"100\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "9"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"10\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "10"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["BatchNormalizationLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "10"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"100\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "10"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"11\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "11"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["Tanh", + GrayLevel[0], StripOnInput -> False], + Annotation[#, {"Nodes", "11"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"100\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "11"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"12\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "12"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "12"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"1\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "12"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + "\"\"", Annotation[#, {"Outputs", "Output"}, "Mouse"]& ], + + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + "\"Output\"", + Annotation[#, {"Outputs", "Output"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + "\"scalar\"", + Annotation[#, {"Outputs", "Output"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}}, + GridBoxAlignment -> {"Columns" -> {{Left}}}, AutoDelete -> + False, GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + GridBoxSpacings -> {"Columns" -> {{1.1}}}], "Grid"], + If[ + ListQ[ + NeuralNetworks`Private`NetChain`part = MouseAnnotation[]], + If[NeuralNetworks`Private`NetChain`opart === + NeuralNetworks`Private`NetChain`part, + NeuralNetworks`Private`NetChain`selected = Null; + NeuralNetworks`Private`NetChain`opart = Null, + NeuralNetworks`Private`NetChain`selected = + Part[NeuralNetworks`Private`NetChain`assoc3, + Apply[Sequence, NeuralNetworks`Private`NetChain`part]]; + NeuralNetworks`Private`NetChain`opart = + NeuralNetworks`Private`NetChain`part; Null]; Null]]}, + NeuralNetworks`Private`NetChain`fmtSelected[ + NeuralNetworks`Private`NetChain`selected, + NeuralNetworks`Private`NetChain`part, + NeuralNetworks`Private`GetSharedArrays[ + NeuralNetworks`Private`NetChain`assoc3]]}, + GridBoxSpacings -> {"Columns" -> {{1}}}, + GridBoxAlignment -> {"Columns" -> {{Left}}}, + GridFrameMargins -> {{0, 0}, {0, 0}}], + TrackedSymbols :> { + NeuralNetworks`Private`NetChain`selected}], + Initialization :> {NetChain}]}}, BaselinePosition -> + Automatic, + GridBoxAlignment -> { + "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, + GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + GridBoxSpacings -> { + "Columns" -> {{2}}, "Rows" -> {{Automatic}}}]}}, + GridBoxAlignment -> {"Rows" -> {{Top}}}, + GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + GridFrameMargins -> {{0, 0}, {0, 0}}, + BaselinePosition -> {1, 1}]}, + Dynamic[Typeset`open], ImageSize -> Automatic], BaselinePosition -> + Baseline, + BaseStyle -> { + ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> + 3, ShowSyntaxStyles -> False}]], + StyleBox["]", "NonInterpretableSummary"]}]}, + "CopyTag", + DisplayFunction->(#& ), + InterpretationFunction->("NetChain[<>]"& )], + False, + Editable->False, + SelectWithContents->True, + Selectable->False]], "Output", + CellChangeTimes->{3.777023866639958*^9, 3.777024216948794*^9, + 3.777024284123893*^9, 3.777024376724215*^9, 3.77702444637466*^9}, + CellLabel-> + "Out[1243]=",ExpressionUUID->"78c58938-09f5-4674-8944-302ae0159b7a"], + +Cell[BoxData[ + FrameBox[GridBox[{ + { + ItemBox[ + FrameBox[ + StyleBox["\<\"NetTrain Results\"\>", "SuggestionsBarText", + 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GrayLevel[0.4], StripOnInput -> False]}, + "RowDefault"], + + TemplateBox[{ + ",","\",\"", + TemplateBox[{ + "\[ThinSpace]", "\" \"", "\"training examples:\"", "128"}, + "RowWithSeparators"], + TemplateBox[{ + "\[ThinSpace]", "\" \"", "\"validation examples:\"", "40"}, + "RowWithSeparators"], + TemplateBox[{ + "\[ThinSpace]", "\" \"", "\"processed examples:\"", "1920000"}, + "RowWithSeparators"], + TemplateBox[{ + "\[ThinSpace]", "\" \"", "\"skipped examples:\"", "0"}, + "RowWithSeparators"]}, + "RowWithSeparators"]}, + { + TemplateBox[{TemplateBox[{5}, "Spacer1"],StyleBox["\"method\"", + GrayLevel[0.4], StripOnInput -> False]}, + "RowDefault"], + + TemplateBox[{ + ",","\",\"", + TemplateBox[{ + "\[ThinSpace]", "\" \"", "\"ADAM\"", "\"optimizer\""}, + "RowWithSeparators"], + TemplateBox[{"\[ThinSpace]", "\" \"", "\"batch size\"", "64"}, + "RowWithSeparators"],"\"CPU\""}, + "RowWithSeparators"]}, + { + TemplateBox[{TemplateBox[{5}, "Spacer1"],StyleBox["\"round\"", + GrayLevel[0.4], StripOnInput -> False]}, + "RowDefault"], + TemplateBox[{",","\",\"",TemplateBox[{"\[ThinSpace]", "\" \"", + TagBox[ + TooltipBox["\"loss:\"", + TagBox[ + GridBox[{{ + + TemplateBox[{"\"Measurement: \"", "\"loss\""}, + "RowDefault"]}}, + GridBoxAlignment -> {"Columns" -> {{Left}}}, + DefaultBaseStyle -> "Column", + GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], + "Column"]], Annotation[#, + Column[{ + Row[{"Measurement: ", "loss"}]}], "Tooltip"]& ], + TagBox[ + InterpretationBox[ + RowBox[{"\"4.05\"", "\[Times]", + SuperscriptBox["10", "\"-1\""]}], 0.404919812277285, + AutoDelete -> True], ScientificForm[#, 3]& ]}, + "RowWithSeparators"]}, + "RowWithSeparators"]}, + { + + TemplateBox[{ + TemplateBox[{5}, "Spacer1"],StyleBox["\"validation\"", + GrayLevel[0.4], StripOnInput -> False]}, + "RowDefault"], + TemplateBox[{",","\",\"",TemplateBox[{"\[ThinSpace]", "\" \"", + TagBox[ + TooltipBox["\"loss:\"", + TagBox[ + GridBox[{{ + + TemplateBox[{"\"Measurement: \"", "\"loss\""}, + "RowDefault"]}}, + GridBoxAlignment -> {"Columns" -> {{Left}}}, + DefaultBaseStyle -> "Column", + GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], + "Column"]], Annotation[#, + Column[{ + Row[{"Measurement: ", "loss"}]}], "Tooltip"]& ], + TagBox[ + InterpretationBox[ + "\"1.6\"", 1.601285708532396, AutoDelete -> True], + ScientificForm[#, 3]& ]}, "RowWithSeparators"]}, + "RowWithSeparators"]}, + { + ItemBox[GridBox[{ + {"", + ItemBox["\<\"rounds\"\>", + DefaultBaseStyle->"LabeledLabel"]}, + { + RotationBox[ + ItemBox["\<\"loss\"\>", + DefaultBaseStyle->"LabeledLabel"], + BoxRotation->1.5708], + GraphicsBox[ + {AbsoluteThickness[1.25], { + {Hue[0.083, 1., 1.], LineBox[CompressedData[" +1:eJw1mHk8VPsbxy2ppER1VXRDKJFUuu3xuHRTKaSFuC0K7VpQSisKyb4rlT3E +WLIOX8MMs0m2yZxzRkrRSkkrur8zP1/zz7zGzJzzfJ/n83l/nqHt4rHdVU5G +RmaRrIyM9HnskWHVE3AiQBYMPponuP+xCeqaB+teOsvg145wOO24qHrub7Ou +058Lpzx1gTbFew5To36Zjb5/BJDglIax91czz8ORV1h7PEDR3KbAcUcf/vwZ 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GraphicsBox[{{}, { + Directive[ + EdgeForm[ + Directive[ + Opacity[0.3], + GrayLevel[0]]], + PointSize[0.5], + AbsoluteThickness[1.6], + Hue[0.11, 1, 0.75], + AbsolutePointSize[6]], { + Directive[ + EdgeForm[ + Directive[ + Opacity[0.3], + GrayLevel[0]]], + PointSize[0.5], + AbsoluteThickness[1.6], + Hue[0.11, 1, 0.75], + AbsolutePointSize[6]], + PointBox[ + NCache[{ + Scaled[{ + Rational[1, 2], + Rational[1, 2]}]}, { + Scaled[{0.5, 0.5}]}]]}}}, AspectRatio -> Full, + ImageSize -> {12, 12}, PlotRangePadding -> None, + ImagePadding -> Automatic, + BaselinePosition -> (Scaled[0.23333333333333334`] -> + Baseline)], "\" \"", #5}, "RowDefault"]}}, + GridBoxAlignment -> { + "Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, AutoDelete -> + False, GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Grid"], + Alignment -> Left, AppearanceElements -> None, + ImageMargins -> {{2, 2}, {2, 2}}, ImageSizeAction -> + "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { + FontSize -> 8, FontFamily -> "Arial"}, Background -> Automatic, + StripOnInput -> False], TraditionalForm]& ), + InterpretationFunction :> (RowBox[{"PointLegend", "[", + RowBox[{ + RowBox[{"{", + RowBox[{ + RowBox[{"Directive", "[", + RowBox[{ + InterpretationBox[ + ButtonBox[ + TooltipBox[ + GraphicsBox[{{ + GrayLevel[0], + RectangleBox[{0, 0}]}, { + GrayLevel[0], + RectangleBox[{1, -1}]}, { + GrayLevel[0.5], + RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> + "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, + FrameStyle -> GrayLevel[0.33333333333333337`], FrameTicks -> + None, PlotRangePadding -> None, ImageSize -> + Dynamic[{ + Automatic, 1.35 CurrentValue["FontCapHeight"]/ + AbsoluteCurrentValue[Magnification]}]], + StyleBox[ + RowBox[{"GrayLevel", "[", "0.5`", "]"}], NumberMarks -> + False]], Appearance -> None, BaseStyle -> {}, + BaselinePosition -> Baseline, DefaultBaseStyle -> {}, + ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, + If[ + Not[ + AbsoluteCurrentValue["Deployed"]], + SelectionMove[Typeset`box$, All, Expression]; + FrontEnd`Private`$ColorSelectorInitialAlpha = 1; + FrontEnd`Private`$ColorSelectorInitialColor = + GrayLevel[0.5]; + FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; + MathLink`CallFrontEnd[ + FrontEnd`AttachCell[Typeset`box$, + FrontEndResource["GrayLevelColorValueSelector"], { + 0, {Left, Bottom}}, {Left, Top}, + "ClosingActions" -> { + "SelectionDeparture", "ParentChanged", + "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> + Automatic, Method -> "Preemptive"], + GrayLevel[0.5], Editable -> False, Selectable -> False], + ",", + RowBox[{"AbsolutePointSize", "[", "4", "]"}]}], "]"}], ",", + RowBox[{"Directive", "[", + RowBox[{ + InterpretationBox[ + ButtonBox[ + TooltipBox[ + GraphicsBox[{{ + GrayLevel[0], + RectangleBox[{0, 0}]}, { + GrayLevel[0], + RectangleBox[{1, -1}]}, { + Hue[0.11, 1, 0.75], + RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> + "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, + FrameStyle -> Hue[0.11, 1., 0.5], FrameTicks -> None, + PlotRangePadding -> None, ImageSize -> + Dynamic[{ + Automatic, 1.35 CurrentValue["FontCapHeight"]/ + AbsoluteCurrentValue[Magnification]}]], + StyleBox[ + RowBox[{"Hue", "[", + RowBox[{"0.11`", ",", "1", ",", "0.75`"}], "]"}], + NumberMarks -> False]], Appearance -> None, + BaseStyle -> {}, BaselinePosition -> Baseline, + DefaultBaseStyle -> {}, ButtonFunction :> + With[{Typeset`box$ = EvaluationBox[]}, + If[ + Not[ + AbsoluteCurrentValue["Deployed"]], + SelectionMove[Typeset`box$, All, Expression]; + FrontEnd`Private`$ColorSelectorInitialAlpha = 1; + FrontEnd`Private`$ColorSelectorInitialColor = + Hue[0.11, 1, 0.75]; + FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; + MathLink`CallFrontEnd[ + FrontEnd`AttachCell[Typeset`box$, + FrontEndResource["HueColorValueSelector"], { + 0, {Left, Bottom}}, {Left, Top}, + "ClosingActions" -> { + "SelectionDeparture", "ParentChanged", + "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> + Automatic, Method -> "Preemptive"], + Hue[0.11, 1, 0.75], Editable -> False, Selectable -> + False], ",", + RowBox[{"AbsolutePointSize", "[", "6", "]"}]}], "]"}], ",", + RowBox[{"Directive", "[", + RowBox[{ + InterpretationBox[ + ButtonBox[ + TooltipBox[ + GraphicsBox[{{ + GrayLevel[0], + RectangleBox[{0, 0}]}, { + GrayLevel[0], + RectangleBox[{1, -1}]}, { + Hue[0.08, 0.9, 0.8], + RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> + "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, + FrameStyle -> Hue[0.08, 0.9, 0.5333333333333334], + FrameTicks -> None, PlotRangePadding -> None, ImageSize -> + Dynamic[{ + Automatic, 1.35 CurrentValue["FontCapHeight"]/ + AbsoluteCurrentValue[Magnification]}]], + StyleBox[ + RowBox[{"Hue", "[", + RowBox[{"0.08`", ",", "0.9`", ",", "0.8`"}], "]"}], + NumberMarks -> False]], Appearance -> None, + BaseStyle -> {}, BaselinePosition -> Baseline, + DefaultBaseStyle -> {}, ButtonFunction :> + With[{Typeset`box$ = 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MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> + RawArray["Integer16",{7, 6, 9, 5, 7, 5, 7, 7, 5, 4, 7, 10, 4, 6, 6, + 10, 6, 10, 1, 4, 2, 8, 5, 7, 2, 7, 4, 3, 5, 5, 5, 4, 7, 1, 10, 7, + 6, 2, 9, 9}], "NumericalThresholds" -> + RawArray[ + "Real32",{-0.525206983089447, -0.38459721207618713`, \ +-1.2058459520339966`, -0.775850236415863, -0.7590714693069458, + 0.23799215257167816`, -0.8624956011772156, -1.2032129764556885`, \ +-0.5439484119415283, -0.7453336119651794, -1.0458351373672485`, \ +-0.3689447343349457, -0.16312332451343536`, -0.10134053975343704`, \ +-0.3238231837749481, -0.40865668654441833`, -0.9119275212287903, \ +-0.8986119627952576, -0.025838535279035568`, -0.4400801956653595, + 0.05055021494626999, -0.7227116227149963, -0.3515247404575348, + 0.3335232734680176, -0.038618072867393494`, -0.3714715540409088, \ +-0.35235050320625305`, -0.4999273419380188, -0.7659092545509338, \ +-0.17220687866210938`, 1.5083214044570923`, -0.7064321041107178, + 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"NumericalThresholds" -> + RawArray[ + "Real32",{-0.4150547981262207, -1.2550214529037476`, \ +-0.7235560417175293, -0.25570809841156006`, -1.049625039100647, \ +-0.8624956011772156, -0.755640983581543, -0.7172785401344299, \ +-1.0792253017425537`, -0.5285296440124512, -0.5168932676315308, \ +-0.6338116526603699, -0.3040602207183838, -1.0611101388931274`, \ +-0.7921767234802246, -0.1820138841867447, -0.45727652311325073`, + 0.3467894494533539, -0.5692270398139954, + 0.02072090655565262, -0.3622879385948181, -0.8986119627952576, \ +-0.4648142158985138, 0.36660146713256836`, -0.6133463382720947, + 0.1569364219903946, -0.23573905229568481`, -0.9907692074775696, \ +-0.36656972765922546`, 0.13165314495563507`, -0.22191904485225677`, + 1.875351071357727, 0.7103700637817383, 1.3224042654037476`, + 1.3035873174667358`, 1.1479240655899048`, 2.2771167755126953`, + 1.3332452774047852`, 1.4431051015853882`}], "Children" -> + RawArray["Integer16",{{2, 18}, {3, 5}, {-1, 4}, {-2, -3}, {6, + 8}, {-4, 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"LeafValues" -> + RawArray["Real32",{1., 0., 2., 1., 2., 1., 0., 0., -1., 1., 1., 2., + 0., 0., 1., 1., 0., 0., 0., -1., -1., 0., -1., 0., 0., 0., 1., 0., + 0., 0., -1., -1., -1., -1., 0., -1., -1., -1., -1., -1., -1.}], + "NominalSplits" -> {}, "RootIndex" -> 1, "NominalDimension" -> 0]], + + MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> + RawArray["Integer16",{6, 5, 1, 1, 7, 5, 6, 1, 3, 1, 7, 8, 4, 4, 10, + 2, 6, 8, 7, 4, 5, 3, 6, 6, 1, 9, 2, 1, 9, 5, 5, 6, 6, 10, 6, 6}], + "NumericalThresholds" -> + RawArray[ + "Real32",{-0.3239133656024933, -0.7680723667144775, \ +-0.7759438753128052, -0.405887633562088, -0.3790954649448395, \ +-0.23558801412582397`, -1.0176421403884888`, -0.8922854661941528, \ +-0.43358439207077026`, -0.4365271031856537, -0.8347653746604919, \ +-1.0551916360855103`, -0.6650806665420532, -1.1098978519439697`, \ +-0.3505530059337616, -0.8233919143676758, -0.8154658079147339, + 0.4745601713657379, -0.3122239410877228, + 0.15644222497940063`, 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"NominalSplits" -> {}, "RootIndex" -> 1, "NominalDimension" -> 0]], + + MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> + RawArray["Integer16",{4, 7, 6, 7, 5, 5, 6, 10, 5, 7, 5, 4, 10, 2, 7, + 10, 6, 1, 7, 6, 6, 6, 9, 6, 5, 3, 1, 5, 2, 6, 5, 6, 4, 7, 5, 5, + 4, 4, 8}], "NumericalThresholds" -> + RawArray["Real32",{ + 0.5115829110145569, -0.5265625715255737, -0.4108738899230957, \ +-1.1273856163024902`, -0.2245485633611679, -0.9027525186538696, \ +-0.6486393809318542, -0.30900850892066956`, -0.48895007371902466`, \ +-1.0458351373672485`, -1.0459471940994263`, -0.7453336119651794, \ +-0.3864826560020447, -0.3864281177520752, -0.06102089583873749, \ +-0.49607983231544495`, -0.6122772097587585, -0.6249867677688599, \ +-0.2462947815656662, -0.32693493366241455`, + 0.31087416410446167`, -1.0390013456344604`, + 0.22142955660820007`, -0.3238231837749481, -0.9156931042671204, \ +-0.10407448559999466`, -0.3823685348033905, -0.7204897999763489, \ +-0.3768109381198883, 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MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> + RawArray["Integer16",{1, 5, 9, 5, 7, 6, 5, 7, 4, 6, 2, 9, 4, 6, 7, + 4, 7, 2, 6, 7, 6, 5, 7, 6, 7, 10, 6, 10, 7, 2, 10, 5, 4, 6, 5, 5, + 3, 8, 8, 9}], "NumericalThresholds" -> + RawArray["Real32",{0.3824775516986847, -0.5107965469360352, + 0.4194466471672058, -1.07854163646698, -1.112588882446289, \ +-0.3722665309906006, -1.2422676086425781`, -0.42198237776756287`, + 0.0575098879635334, -0.16644729673862457`, -0.12724892795085907`, \ +-0.8175694346427917, -0.5172353386878967, -0.38459721207618713`, \ +-0.5594921708106995, -0.3220110833644867, -0.8551858067512512, \ +-0.38738813996315, -0.60368412733078, + 0.020335417240858078`, -1.0090296268463135`, -0.07373186945915222, + 0.3335232734680176, + 0.13931898772716522`, -0.3122239410877228, -0.3864826560020447, \ +-0.1129726842045784, -0.9860849976539612, -0.4825424253940582, \ +-0.7327283024787903, 1.2766990661621094`, 1.2711459398269653`, + 0.903095006942749, 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RawArray["Integer16",{7, 2, 6, 8, 2, 5, 5, 2, 7, 8, 5, 3, 5, 8, 7, + 6, 4, 2, 5, 6, 10, 2, 3, 10, 2, 5, 7, 6, 5, 5, 7, 10, 10, 6, 2, 7, + 3, 3}], "NumericalThresholds" -> + RawArray[ + "Real32",{-0.3024795353412628, -1.1927239894866943`, \ +-0.8787583708763123, 0.10207019001245499`, + 0.03430011868476868, -0.6726946830749512, -0.5107965469360352, \ +-0.01769002340734005, -0.8542041182518005, -0.17758111655712128`, \ +-0.89033043384552, -1.1551876068115234`, 0.2044840008020401, + 0.1340235471725464, -0.6043540239334106, -0.19405126571655273`, + 0.5246431827545166, -1.243257999420166, -0.44054099917411804`, \ +-0.508132815361023, -1.096881628036499, -0.4073140621185303, \ +-0.6743107438087463, -0.5193795561790466, -0.2515747845172882, + 0.23473480343818665`, + 0.2281915545463562, -0.7279210686683655, -0.054081857204437256`, + 2.055788516998291, 1.3498637676239014`, 1.9365322589874268`, + 1.1334604024887085`, 0.8939712643623352, 1.606547236442566, + 1.869634985923767, 2.0266082286834717`, 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MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> + RawArray["Integer16",{7, 5, 5, 6, 7, 4, 6, 6, 9, 7, 5, 6, 4, 4, 9, + 5, 7, 5, 6, 3, 6, 5, 8, 10, 6, 9, 10, 7, 1, 2, 6, 10, 10, 1, 5, + 10, 8, 10}], "NumericalThresholds" -> + RawArray[ + "Real32",{-0.525206983089447, -0.39917126297950745`, \ +-0.89033043384552, -0.9916141629219055, -1.02980375289917, \ +-0.748112678527832, -0.884994387626648, -0.22280234098434448`, \ +-1.0562947988510132`, -1.1913156509399414`, + 0.04386728256940842, -0.5285296440124512, -0.37372690439224243`, \ +-0.8749319911003113, + 0.4807492196559906, -0.5038668513298035, -0.42198237776756287`, \ +-0.9571793675422668, -0.44157662987709045`, -0.43358439207077026`, \ +-0.9683294892311096, -0.10942337661981583`, -0.24922554194927216`, \ +-0.5995293855667114, -0.8787583708763123, -0.19901593029499054`, \ +-1.0643123388290405`, -0.12729452550411224`, -0.5808568000793457, + 2.4771053791046143`, 1.875351071357727, 2.1043829917907715`, + 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MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> + RawArray["Integer16",{8, 7, 10, 6, 6, 7, 2, 4, 2, 6, 3, 4, 9, 2, 5, + 1, 7, 5, 6, 5, 4, 8, 1, 5, 2, 6, 5, 2, 8, 3, 2, 5, 10, 5, 5, 5, 7, + 3, 5, 10, 7, 7}], "NumericalThresholds" -> + RawArray["Real32",{ + 0.4324707090854645, -0.525206983089447, -1.1712313890457153`, \ +-0.7257235050201416, -0.7107736468315125, -1.0714337825775146`, \ +-0.309334397315979, -0.15189361572265625`, -0.6911081075668335, \ +-0.10134053975343704`, -0.04146936535835266, -0.5252130031585693, \ +-0.5273231863975525, -0.01769002340734005, -0.13274551928043365`, \ +-0.7049402594566345, + 0.29834890365600586`, -0.41467177867889404`, -0.508132815361023, \ +-0.8254891037940979, -0.6237860321998596, -0.45383787155151367`, + 0.12083672732114792`, -0.9156931042671204, -0.25323551893234253`, \ +-0.6722036004066467, 0.14690785109996796`, -0.7755342125892639, + 0.03471611440181732, -0.8720579147338867, -0.4153822660446167, \ +-0.17220687866210938`, 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Association[ + "FeatureIndices" -> + RawArray["Integer16",{6, 4, 10, 7, 6, 2, 3, 7, 5, 5, 6, 7, 7, 6, + 8, 8, 4, 8, 2, 4, 4, 7, 5, 10, 3, 5, 7, 5, 6, 6, 5, 1, 8, 4, 6, + 10, 6, 10, 3, 1}], "NumericalThresholds" -> + RawArray[ + "Real32",{-0.8048500418663025, -0.8056656718254089, \ +-0.12208539992570877`, -0.5594921708106995, -1.2378723621368408`, \ +-0.9312131404876709, -0.6105760931968689, -0.7567965388298035, \ +-0.7830715179443359, -0.1283883899450302, -1.1653844118118286`, \ +-0.47179296612739563`, -0.8997071981430054, -0.38459721207618713`, \ +-0.5957909822463989, -0.8767157793045044, -0.7961096167564392, \ +-0.8576375246047974, -0.14427661895751953`, + 0.6763161420822144, -1.3486047983169556`, + 0.04218733310699463, -0.5038668513298035, \ +-0.31667160987854004`, -0.8300418853759766, + 0.0695076659321785, -0.25125762820243835`, \ +-0.7690552473068237, -0.34343573451042175`, -0.12883779406547546`, \ +-0.27265453338623047`, -0.2986147403717041, 1.2271692752838135`, + 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-> + RawArray["Integer16",{6, 2, 10, 7, 7, 5, 2, 7, 7, 4, 2, 5, 6, 5, + 8, 7, 5, 1, 3, 7, 9, 9, 9, 5, 3, 6, 9, 10, 2, 3, 5, 1, 6, 10, + 5, 7, 2, 7, 4, 4}], "NumericalThresholds" -> + RawArray[ + "Real32",{-0.2811393439769745, -1.1056476831436157`, \ +-0.024845831096172333`, -0.6153132915496826, -0.7567965388298035, \ +-0.4767621159553528, -0.5408322215080261, -1.1913156509399414`, + 0.1531391590833664, -1.1098978519439697`, \ +-0.24715900421142578`, -0.5823003053665161, -0.6951732635498047, \ +-0.660971462726593, -0.6614654064178467, + 0.38787180185317993`, -0.5409308671951294, + 0.38507890701293945`, + 0.07859119027853012, -0.6530475616455078, -0.8619232773780823, + 0.18327055871486664`, -0.7262136936187744, \ +-0.6465160250663757, -1.1564140319824219`, -0.05348610132932663, \ +-1.0086392164230347`, -1.0043398141860962`, -0.13426442444324493`, + 0.3194371461868286, -0.7659092545509338, 2.3818581104278564`, + 1.5647943019866943`, 1.0165491104125977`, 1.134990930557251, + 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"NumericalThresholds" -> + RawArray[ + "Real32",{-0.46839919686317444`, -0.6976924538612366, \ +-1.2764348983764648`, -0.46243998408317566`, -0.43885985016822815`, \ +-0.577010989189148, + 0.25532054901123047`, -0.8624956011772156, -0.3792899549007416, + 0.13736653327941895`, + 0.020335417240858078`, -0.27249598503112793`, \ +-0.36356639862060547`, -0.5512116551399231, -0.34679245948791504`, \ +-0.8752104640007019, -0.9478302597999573, -0.1831207573413849, + 0.2140427529811859, -1.1646170616149902`, + 1.2116960287094116`, -1.1596299409866333`, \ +-1.0382654666900635`, -0.42007625102996826`, -0.44054099917411804`, \ +-0.6311746835708618, -0.20497791469097137`, + 1.6407963037490845`, -0.7659092545509338, \ +-0.32474464178085327`, -0.10942337661981583`, 1.0168739557266235`, + 0.7834213376045227, 1.9653228521347046`, 1.4285087585449219`, + 1.1769423484802246`, 1.5638808012008667`, + 1.5171793699264526`}], "Children" -> + RawArray["Integer16",{{2, 14}, {3, 7}, {-1, 4}, {5, + 6}, {-2, -3}, 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RawArray["Real32",{2., 2., 2., 0., 1., 1., 0., 0., 0., 1., 1., + 0., 1., 0., 0., 0., 0., 0., -1., 0., 0., 0., 1., + 0., -1., -1., -1., -1., 0., -1., -1., -1., -1., -1., + 0., -1., -1., -1.}], "NominalSplits" -> {}, "RootIndex" -> 1, + "NominalDimension" -> 0]], + MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> + RawArray["Integer16",{7, 4, 7, 9, 6, 10, 6, 5, 7, 6, 6, 5, 5, 3, + 9, 10, 7, 5, 3, 6, 10, 5, 6, 4, 1, 2, 5, 5, 1, 4, 4, 6, 2, 4, + 7, 7, 7}], "NumericalThresholds" -> + RawArray[ + "Real32",{-0.4150547981262207, -0.9075939059257507, \ +-1.0842221975326538`, -0.7133632898330688, -0.6280588507652283, + 0.25473761558532715`, -0.5285296440124512, \ +-0.42687463760375977`, -1.0145741701126099`, -1.0449497699737549`, + 0.024707414209842682`, -0.7046416997909546, \ +-0.2591911554336548, -0.813197910785675, -0.6061583161354065, + 0.6834262013435364, + 0.006999812088906765, -0.10942337661981583`, + 0.3194371461868286, -0.7279210686683655, \ +-0.34641411900520325`, 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-1.}], + "NominalSplits" -> {}, "RootIndex" -> 1, "NominalDimension" -> + 0]], + MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> + RawArray["Integer16",{2, 6, 5, 6, 4, 7, 7, 2, 1, 7, 7, 5, 7, 7, + 7, 10, 2, 1, 7, 4, 6, 4, 3, 10, 5, 8, 3, 5, 7, 5, 3, 7, 5, 5, + 1, 1, 4, 6, 2}], "NumericalThresholds" -> + RawArray["Real32",{ + 0.4039633870124817, -0.5718659162521362, \ +-0.27249598503112793`, -1.1909743547439575`, -0.6847808361053467, \ +-0.9095788598060608, -0.08101735264062881, -0.42251792550086975`, \ +-0.8441951274871826, -0.8624956011772156, -1.1273856163024902`, \ +-0.07805073261260986, -0.4150547981262207, -0.525206983089447, \ +-1.098548173904419, + 0.13958345353603363`, -0.5743552446365356, \ +-0.9669939279556274, -0.866424024105072, -0.9005727767944336, + 0.026086758822202682`, -0.7627493143081665, \ +-0.386148065328598, -1.0052464008331299`, -0.7680723667144775, \ +-0.10418853908777237`, -0.7896620035171509, -0.7690552473068237, \ +-0.2753490209579468, 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MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> + RawArray["Integer16",{7, 5, 7, 10, 6, 7, 5, 1, 8, 6, 1, 6, 9, 7, + 3, 6, 5, 5, 10, 4, 5, 9, 5, 10, 10, 6, 3, 3, 7, 4, 8, 5, 5, 10, + 2, 6, 5, 10}], "NumericalThresholds" -> + RawArray[ + "Real32",{-0.42059457302093506`, -0.17638027667999268`, \ +-1.112860083580017, -1.1217848062515259`, -0.35975614190101624`, \ +-0.637231707572937, -0.89033043384552, -0.479070246219635, \ +-0.2645643949508667, -0.7886366248130798, -0.15135864913463593`, \ +-0.6545799374580383, -0.782108724117279, -0.8624956011772156, \ +-0.7299894094467163, -0.47807106375694275`, -0.4955753684043884, \ +-1.108318567276001, -0.7866491079330444, -0.28001004457473755`, \ +-0.07805073261260986, -0.2989903688430786, -0.6140615940093994, \ +-0.4587233066558838, -0.8288944959640503, + 0.5627272725105286, -0.2551998496055603, -0.7068169713020325, \ +-0.14259891211986542`, -0.9312295913696289, 1.5699976682662964`, + 1.067151427268982, 1.7660926580429077`, 1.3035873174667358`, + 0.9854492545127869, 1.2846728563308716`, 1.665941834449768, + 1.743664264678955}], "Children" -> + RawArray["Integer16",{{2, 16}, {3, 12}, {4, 6}, {-1, + 5}, {-2, -3}, {7, 11}, {8, 9}, {-4, -5}, { + 10, -8}, {-6, -7}, {-9, -10}, {13, 15}, {-11, + 14}, {-12, -13}, {-14, -15}, {17, 23}, {18, 20}, {-16, + 19}, {-17, -18}, {21, 22}, {-19, -20}, {-21, -22}, {24, 26}, { + 25, -25}, {-23, -24}, {27, 31}, {28, 29}, {-26, -27}, {-28, + 30}, {-29, -30}, {32, 36}, {-31, 33}, {34, + 35}, {-32, -33}, {-34, -35}, {37, + 38}, {-36, -37}, {-38, -39}}], "LeafValues" -> + RawArray["Real32",{2., 1., 0., 0., 0., 1., 0., 0., 0., 0., 2., + 2., 2., 1., 1., -1., 0., 0., 0., 1., 1., 1., -1., -1., -1., + 0., -1., 0., -1., 0., -1., -1., -1., -1., -1., -1., + 0., -1., -1.}], "NominalSplits" -> {}, "RootIndex" -> 1, + "NominalDimension" -> 0]], + MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> + RawArray["Integer16",{7, 5, 1, 6, 7, 6, 7, 5, 3, 2, 3, 10, 6, 5, + 5, 8, 6, 3, 6, 1, 8, 7, 6, 7, 5, 10, 4, 9, 5, 5, 6, 1, 10, 5, + 6, 6, 6, 7, 6}], "NumericalThresholds" -> + RawArray[ + "Real32",{-0.525206983089447, -0.7418791651725769, \ +-0.7381396293640137, -0.4681946933269501, -1.0386492013931274`, \ +-0.5913596153259277, -0.8551858067512512, -0.17638027667999268`, \ +-0.8684055805206299, -0.8861318230628967, -0.6006301641464233, \ +-0.2993083894252777, -0.8296759724617004, -0.13274551928043365`, \ +-0.4925048351287842, + 0.33265841007232666`, -0.47807106375694275`, \ +-1.0564906597137451`, -1.0390013456344604`, -0.5309992432594299, \ +-0.011065446771681309`, 0.07448900490999222, -0.7966695427894592, + 0.29834890365600586`, -0.31406301259994507`, \ +-0.4587233066558838, -0.5095497965812683, -0.05646224319934845, \ +-0.9910771250724792, -0.6133463382720947, -0.029778171330690384`, \ +-0.38747406005859375`, 1.2555153369903564`, 1.87520170211792, + 0.9438303709030151, 1.176639199256897, 1.875351071357727, + 1.208004355430603, 2.2810070514678955`}], "Children" -> + RawArray["Integer16",{{2, 16}, {3, 7}, {4, 5}, {-1, -2}, {-3, + 6}, {-4, -5}, {8, 13}, {9, 11}, {-6, 10}, {-7, -8}, {-9, + 12}, {-10, -11}, {-12, 14}, {15, -15}, {-13, -14}, {17, 33}, { + 18, 25}, {-16, 19}, {20, 22}, {-17, 21}, {-18, -19}, {23, + 24}, {-20, -21}, {-22, -23}, {26, 31}, {27, 29}, {-24, + 28}, {-25, -26}, {-27, 30}, {-28, -29}, {-30, + 32}, {-31, -32}, {34, 36}, {35, -35}, {-33, -34}, {-36, 37}, { + 38, 39}, {-37, -38}, {-39, -40}}], "LeafValues" -> + RawArray["Real32",{0., 0., 0., 0., 0., 1., 1., 1., 2., 2., 1., + 1., 0., 0., 1., 0., 0., 1., 1., 0., 0., 0., + 0., -1., -1., -1., -1., -1., -1., 0., 0., 0., -1., -1., + 0., -1., -1., -1., -1., -1.}], "NominalSplits" -> {}, + "RootIndex" -> 1, "NominalDimension" -> 0]], + MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> + RawArray["Integer16",{8, 7, 10, 6, 6, 7, 2, 4, 2, 6, 3, 4, 9, 2, + 5, 1, 7, 5, 6, 5, 4, 8, 1, 5, 2, 6, 5, 2, 8, 3, 2, 5, 10, 5, 5, + 5, 7, 3, 5, 10, 7, 7}], "NumericalThresholds" -> + RawArray["Real32",{ + 0.4324707090854645, -0.525206983089447, -1.1712313890457153`, \ +-0.7257235050201416, -0.7107736468315125, -1.0714337825775146`, \ +-0.309334397315979, -0.15189361572265625`, -0.6911081075668335, \ +-0.10134053975343704`, -0.04146936535835266, -0.5252130031585693, \ +-0.5273231863975525, -0.01769002340734005, -0.13274551928043365`, \ +-0.7049402594566345, + 0.29834890365600586`, -0.41467177867889404`, \ +-0.508132815361023, -0.8254891037940979, -0.6237860321998596, \ +-0.45383787155151367`, + 0.12083672732114792`, -0.9156931042671204, \ +-0.25323551893234253`, -0.6722036004066467, + 0.14690785109996796`, -0.7755342125892639, + 0.03471611440181732, -0.8720579147338867, -0.4153822660446167, \ +-0.17220687866210938`, -0.4848480224609375, -0.6202380061149597, \ +-0.8526793122291565, 1.4198007583618164`, 1.0699952840805054`, + 1.8347227573394775`, 2.4165525436401367`, 1.1896064281463623`, + 1.7410374879837036`, 1.0179499387741089`}], "Children" -> + RawArray["Integer16",{{2, 36}, {3, 17}, {4, 5}, {-1, -2}, {6, + 10}, {7, 8}, {-3, -4}, {9, -7}, {-5, -6}, {11, 14}, { + 12, -11}, {13, -10}, {-8, -9}, {15, -15}, { + 16, -14}, {-12, -13}, {18, 32}, {19, 26}, {20, 23}, {21, + 22}, {-16, -17}, {-18, -19}, {24, -23}, {-20, + 25}, {-21, -22}, {27, 29}, {28, -26}, {-24, -25}, { + 30, -30}, {-27, 31}, {-28, -29}, {33, -35}, {34, + 35}, {-31, -32}, {-33, -34}, {37, 39}, {-36, 38}, {-37, -38}, { + 40, 42}, {-39, 41}, {-40, -41}, {-42, -43}}], "LeafValues" -> + RawArray["Real32",{2., 1., 2., 2., 1., 1., 1., 0., 1., 1., 1., + 0., 0., 1., 1., 0., 0., 0., 0., -1., -1., -1., -1., 1., 1., 1., + 0., 0., 0., 0., -1., -1., -1., 0., + 0., -1., -1., -1., -1., -1., -1., 0., -1.}], + "NominalSplits" -> {}, "RootIndex" -> 1, "NominalDimension" -> + 0]], + MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> + RawArray["Integer16",{7, 3, 2, 7, 8, 10, 5, 6, 7, 5, 5, 7, 1, 10, + 1, 2, 1, 6, 8, 3, 7, 6, 5, 5, 5, 1, 5, 6, 7, 3, 8, 5, 6, 1, 5, + 7, 7, 7, 6}], "NumericalThresholds" -> + RawArray[ + "Real32",{-0.4150547981262207, -1.1115961074829102`, \ +-0.5001875162124634, -0.8782657980918884, + 0.30963000655174255`, -0.43885985016822815`, \ +-0.28911054134368896`, -0.13352540135383606`, -1.1646170616149902`, \ +-0.20961026847362518`, -1.051792860031128, -0.7380644679069519, \ +-0.32263365387916565`, -0.439828097820282, -0.267769455909729, + 0.3099382817745209, -0.9084490537643433, -0.7069717645645142, \ +-0.15271250903606415`, -0.42007625102996826`, -0.10480363667011261`, \ +-0.42842531204223633`, -0.40767452120780945`, -0.5324060916900635, \ +-0.44054099917411804`, -0.2095087617635727, -0.7659092545509338, \ +-0.7728946208953857, + 0.3335232734680176, -0.7682077884674072, -0.48598504066467285`, + 1.7660926580429077`, 0.6614516973495483, 2.2202084064483643`, + 0.960902750492096, 0.9614748954772949, 1.1479240655899048`, + 1.6455844640731812`, 1.4939090013504028`}], "Children" -> + RawArray["Integer16",{{2, 16}, {3, 4}, {-1, -2}, {5, 10}, { + 6, -8}, {7, 8}, {-3, -4}, {-5, 9}, {-6, -7}, {11, 15}, {-9, + 12}, {-10, 13}, {14, -13}, {-11, -12}, {-14, -15}, {17, 32}, { + 18, 21}, {-16, 19}, {20, -19}, {-17, -18}, {22, 25}, {23, + 24}, {-20, -21}, {-22, -23}, {26, 29}, {27, + 28}, {-24, -25}, {-26, -27}, {30, -31}, {-28, + 31}, {-29, -30}, {33, 37}, {-32, 34}, {35, -36}, {-33, + 36}, {-34, -35}, {-37, 38}, {-38, 39}, {-39, -40}}], + "LeafValues" -> + RawArray["Real32",{2., 1., 1., 2., 1., 1., 0., 2., -1., 0., 0., + 0., 1., 1., 1., 0., -1., -1., -1., 0., 1., -1., 0., -1., + 0., -1., -1., 0., 1., 0., 0., -1., -1., -1., -1., -1., + 0., -1., -1., -1.}], "NominalSplits" -> {}, "RootIndex" -> 1, + "NominalDimension" -> 0]], + MachineLearning`DecisionTree[ + Association[ + "FeatureIndices" -> + RawArray["Integer16",{7, 8, 5, 10, 6, 7, 3, 7, 9, 1, 7, 6, 2, 6, + 4, 1, 8, 6, 7, 3, 5, 6, 5, 5, 1, 1, 7, 5, 5, 4, 6, 1, 10, 5, 7, + 7, 5, 8, 5, 5}], "NumericalThresholds" -> + RawArray[ + "Real32",{-0.42059457302093506`, 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-0.04062650352716446, + 0.029234211891889572`}]], "Parameters" -> + Association[ + "OutputDimensions" -> {50}, "$OutputSize" -> 50, + "$InputSize" -> 50, "$InputDimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "4" -> + Association[ + "Type" -> "Elementwise", "Arrays" -> Association[], + "Parameters" -> + Association["Function" -> NeuralNetworks`ValidatedParameter[ + NeuralNetworks`Private`ScalarFunctionObject[{ + NeuralNetworks`Private`ScalarSymbol[1]}, + NeuralNetworks`Private`ScalarSymbol[2], + Association[ + NeuralNetworks`Private`ScalarSymbol[2] -> { + "ScaledExponentialLinearUnit", + NeuralNetworks`Private`ScalarSymbol[1]}]]], + "$Dimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "5" -> + Association[ + "Type" -> "Linear", "Arrays" -> + Association["Weights" -> CompressedData[" +1:eJwtl2k0le3bxs1TQoZQCEmZ9sDe276HqyJNMufJGBVCs6J6lJCZDBVCKJki +7IGNfV/3TYMGDZSKNJGhEolG0fA+/7XeD+ex1rmOtc51fDvOn9GO/R47pSQk +JA4p/Cce24/YHTy4/d/Ncv9bQrbvsbHe8z/T+v/HbfNXtmF3vui+TLaoayKN +Y9+wSzSqLc0+EOMgeiY5yzrwMV40szWNNSyt0jwR8sL6co2fqI6dL7qpmsjW +lS5lRQfLi2ykHzSZz8o1Dlq8Yd3/PccyzIkRtdoKODF0rmjdP3y2nsBVtPPC +ctGJ1u5mrvx31uKtyk3PZnTZCViMaO37RaKMeAP22lhXzoLVOqJtPu9ZxSeP +Nu4pSBW91vQUJSOFou9v14lUWnxEFl4vm7VvC0TeD1xZSf6eoqKlg6xVsi6c +sC3rOaISn6abxh4cz0ZnTtW/NeypkF7RLp+0RvmW56LTh/L5HfOCOcNchWaV +BeXs7B22jdYedxrL8utE/TxB00V5wsZF902jdt6PxsgFJtaT/Hib0vf2LL79 +9cZ6s/kcw75djRtTO9jK8skcbqsv88qH4pZfUQqsDXSDptKtu9kmCtOi3elp +Al9BmfV9f31OYf+lxrjePGuH8gYbdctP1uHndnEEgRdFS2rei+ae9IhWrito +LNINFXXsbeOU+ck1WzH7RQkzSzm37hHsUMNgNNjmC25VJgGe54SQLYxU4Ke4 +FS5zPw38TkhDdqI0OPSiCJDbWrCyQ0XIdsVQbENaCPj+IJl886GHwCJGxM7W 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0.0037598724011331797`, + 0.0014848156133666635`, -0.062039367854595184`, + 0.0032180415000766516`, 0.0027876098174601793`, + 0.0024457972031086683`, -0.02366972528398037, \ +-0.15625843405723572`, 0.04021754115819931, 0.04439108818769455, + 0.056697506457567215`, -0.03260015696287155, + 0.0013900219928473234`, -0.22542059421539307`, + 0.0653468668460846, + 0.042931634932756424`, -0.04062650352716446, + 0.029234211891889572`}]], "Parameters" -> + Association[ + "OutputDimensions" -> {50}, "$OutputSize" -> 50, + "$InputSize" -> 50, "$InputDimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "4" -> + Association[ + "Type" -> "Elementwise", "Arrays" -> Association[], + "Parameters" -> + Association[ + "Function" -> NeuralNetworks`ValidatedParameter[ + NeuralNetworks`Private`ScalarFunctionObject[{ + NeuralNetworks`Private`ScalarSymbol[1]}, + NeuralNetworks`Private`ScalarSymbol[2], + Association[ + NeuralNetworks`Private`ScalarSymbol[2] -> { + "ScaledExponentialLinearUnit", + NeuralNetworks`Private`ScalarSymbol[1]}]]], + "$Dimensions" -> {50}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{50}, NeuralNetworks`RealT]]], "5" -> + Association[ + "Type" -> "Linear", "Arrays" -> + Association["Weights" -> CompressedData[" +1:eJwtl2k0le3bxs1TQoZQCEmZ9sDe276HqyJNMufJGBVCs6J6lJCZDBVCKJki +7IGNfV/3TYMGDZSKNJGhEolG0fA+/7XeD+ex1rmOtc51fDvOn9GO/R47pSQk +JA4p/Cce24/YHTy4/d/Ncv9bQrbvsbHe8z/T+v/HbfNXtmF3vui+TLaoayKN +Y9+wSzSqLc0+EOMgeiY5yzrwMV40szWNNSyt0jwR8sL6co2fqI6dL7qpmsjW +lS5lRQfLi2ykHzSZz8o1Dlq8Yd3/PccyzIkRtdoKODF0rmjdP3y2nsBVtPPC +ctGJ1u5mrvx31uKtyk3PZnTZCViMaO37RaKMeAP22lhXzoLVOqJtPu9ZxSeP +Nu4pSBW91vQUJSOFou9v14lUWnxEFl4vm7VvC0TeD1xZSf6eoqKlg6xVsi6c 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"ExampleNumber" -> 1, "ExampleWeights" -> 1, "LogDensityRatios" -> + 0, "RawExample" -> False]], "TrainingTime" -> 228.075814, + "MaxTrainingMemory" -> 1077056, "DataMemory" -> 184840, + "FunctionMemory" -> 247896, "LanguageVersion" -> {12., 0}, "Date" -> + DateObject[{2019, 9, 6, 15, 50, 36.217933`8.311498640329663}, + "Instant", "Gregorian", 1.], "ProcessorCount" -> 4, + "ProcessorType" -> "x86-64", "OperatingSystem" -> "MacOSX", + "SystemWordLength" -> 64, "Evaluations" -> {}]]], "TestSet" -> + Association["Input" -> CompressedData[" +1:eJw9mnd4VdXSxgNSAoJISUhoSQhBxAuSetLXnDQiJGTvnY6FZhARAgJ66UUh +CNIjgtTABSWAAgpqkBKKNAEpHwIhvQejoIB0+XDNO/o8/HHOk/Nz1pp33llr +9vYYOsbKaOjg4JDz9F/zp/92Lpz49WrXayrKRS2ccqu/cvjnv1yDbhe7NJwZ +alKXpPLgY06pqoVHzeMZS2xUuKZfk5l/+1Cf2WvuPnmxK3Ubtuf+jA2KMgd4 +PUM7iNSXG5XfrQr125rhs96fm8S8FxOZN9UiK7LjzJYfGcw758u8AwE0yDHo +xpPEDrRsV8Gjg2Oj+ft1gfTs5DEtGuSXqkSvU8XW2VTmXRjAvEKTvv9pelHd +2UTm3fTm3xX7gefEPIrl+EoiaFzppXFvda9Rc9s9020VmcyrM5m3xqCC98ZE 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MachineLearning`MLProcessor["Standardize", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Allowed", "Input" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], + "Mean" -> {12.610668408310543`}, + "StandardDeviation" -> {6.818594182992085}, "Output" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], + "Version" -> {12., 0}, "ID" -> 1335426982577428998]], + MachineLearning`MLProcessor["FromVector", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Allowed", "Input" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], "Output" -> + Association[ + "f1" -> Association["Type" -> "Numerical", "Weight" -> 1]], + "Version" -> {12., 0}, "ID" -> 8811017529152668790]], + MachineLearning`MLProcessor["FirstValues", + Association[ + "Info" -> Association["Type" -> "Numerical", "Weight" -> 1], + "Key" -> "f1", "Invertibility" -> "Perfect", "Missing" -> + 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0.0038463600848944726`], + Association[ + "NumericalLengthScale" -> 2.8187577343510086`, + "SignalVariance" -> 1.0660000675355692`, "NoiseVariance" -> + 0.0038463600848944726`]}], "MeanFunction" -> Association[], + "Purpose" -> Association["task" -> "FunctionOptimization"], + "TrainingData" -> {CompressedData[" +1:eJwUmXc01f8fx21aCqG0KFGKqG9W8rpJVFYhkoYGKlpK0UARIkTDyo7MkJn1 +svfee7u41p32+Pn99Tnnc84978/nvsbz8TgfkTtPdE1ZmJiYApiZmDauX+MV +DHyuNtORYFq253FWF7KUeVTXXu8A2ptzXPf3NQFthXa0jJmIBeY8k08ppVil +uahiuEbEXzOsaxSDATzYe3kk3qofla6PiW0VJ+PBcT4/rlOZ8Dz8lNYafwM+ +Vd6rnneehiml3oKmL1Px+EdBeb3Do3jmgdSEp24GjP05PdKSR8bndUJCMxvb +wPrJytMdjqN4+42XXtO+YvAli6Q/J40gWZW/++j7ESyMDF4ci51FyaFHNgvZ +SaA8rP7k18Igksz9N9ccbwcbpnjuLza9ILm3g3JkvhRIFwn/xf2ZxKjzBuK/ +UyewmtNkrTBuBCVM0hem5Ucwr5z186/cUgy8Ys/x0oKKG45N+qnsrAEVp/Cb +ttYtoPNG5E7tXyqeeuc94bqlGp/3HZB4MEvFUAv2fYqvW+Bj6wGutS8MeNMw +4Wfqw0JopD52J3tMwuXCvTeqOyhw/G2ywA3ZURAN9JfWGmQmFFEDLW/PsRIC +Ln27WEBkI7TFJyXGpC/BVXLWF/m7s1D2tzdFEdpxzwm9N9u8/OAOR7KNfzAN 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"Numerical", "Numerical", "Numerical", "Numerical"}, + "InputFeatures" -> {}, "Processor" -> + MachineLearning`MLProcessor["Sequence", + Association[ + "Input" -> Association[ + "(f1f2f3f4f5f6f7f8f9f10)" -> + Association["Type" -> "NumericalVector", "Weight" -> 10]], + "Output" -> + Association[ + "(f1f2f3f4f5f6f7f8f9f10)" -> + Association["Type" -> "NumericalVector", "Weight" -> 10]], + "Processors" -> { + MachineLearning`MLProcessor["Standardize", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Allowed", "Input" -> + Association[ + "(f1f2f3f4f5f6f7f8f9f10)" -> + Association["Type" -> "NumericalVector", "Weight" -> 10]], + "Mean" -> { + 0.011138669158914191`, -0.008124481637463075, \ +-0.012141104569294224`, -0.028220234153256602`, -0.029863223928728377`, \ +-0.008854145138484053, + 0.0012653348223312395`, -0.0021408384486997054`, \ +-0.01590152070567699, -0.01876258843502088}, + "StandardDeviation" -> {0.9878682669491086, + 0.9846985641795234, 0.9747208418695724, 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"EstimationMethod" -> + Association[ + "Value" -> "MaximumPosterior", "Options" -> Association[]], + "OptimizationMethod" -> + Association["Value" -> Automatic, "Options" -> Association[]], + "SearchMethod" -> + Association[ + "Value" -> "SimulatedAnnealing", "Options" -> Association[]], + "InputFeatures" -> + Association["Value" -> {}, "Options" -> Association[]]]], + "TrainingInformation" -> + Association[ + "PanelCell" -> CellObject[207313], "TrainingFunction" -> Predict, + "EMIterations" -> Missing["KeyAbsent", "EMIterations"], + "ProcessorEntropyShift" -> 1.9196533190812604`, "PreprocessingTime" -> + 0.146351`5.616940687761501, "LossName" -> "StandardDeviation", + "BestModelInformation" -> Dataset[ + Association[ + "MeanCrossEntropy" -> + Around[1.5732307413490774`, 0.19346450827680728`], + "StandardDeviation" -> + Around[1.3878236427985189`, 0.29879576388135415`], + "EvaluationTime" -> 0.00010353912130651208`, "TestSize" -> 204, + "ModelMemory" -> 1.4498*^6, + "ModelUtility" -> 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"Numerical", "Weight" -> 1], "f10" -> + Association["Type" -> "Numerical", "Weight" -> 1]], "Output" -> + Association[ + "(f1f2f3f4f5f6f7f8f9f10)" -> + Association["Type" -> "NumericalVector", "Weight" -> 10]], + "Processors" -> { + MachineLearning`MLProcessor["ToVector", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Allowed", "Input" -> + Association[ + "f1" -> Association["Type" -> "Numerical", "Weight" -> 1], + "f2" -> Association["Type" -> "Numerical", "Weight" -> 1], + "f3" -> Association["Type" -> "Numerical", "Weight" -> 1], + "f4" -> Association["Type" -> "Numerical", "Weight" -> 1], + "f5" -> Association["Type" -> "Numerical", "Weight" -> 1], + "f6" -> Association["Type" -> "Numerical", "Weight" -> 1], + "f7" -> Association["Type" -> "Numerical", "Weight" -> 1], + "f8" -> Association["Type" -> "Numerical", "Weight" -> 1], + "f9" -> Association["Type" -> "Numerical", "Weight" -> 1], + "f10" -> Association["Type" -> "Numerical", "Weight" -> 1]], + "Output" -> + Association[ + "(f1f2f3f4f5f6f7f8f9f10)" -> + Association["Type" -> "NumericalVector", "Weight" -> 10]], + "Version" -> {12., 0}, "ID" -> 1830172966918630804]], + MachineLearning`MLProcessor["ImputeMissing", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Imputed", "Input" -> + Association[ + "(f1f2f3f4f5f6f7f8f9f10)" -> + Association["Type" -> "NumericalVector", "Weight" -> 10]], + "Imputer" -> (DimensionReducerFunction[ + Association[ + "ExampleNumber" -> 512, "Imputer" -> + MachineLearning`MLProcessor["ImputeMissing", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Imputed", + "Input" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], + "Fill" -> {0.32131776562500003`, 0.0006475488281249997, + 54.28115843750001, 62.13688358789062, + 0.0006468300781249997, 15.37551884375, + 15.366363593749995`, 3.9351624042968805`, + 21.156768843750015`, 17.56210334374999}, "Method" -> + "Naive", "VectorLength" -> 10, "Output" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], "Type" -> + "NumericalVector"]], "RandomImputer" -> + MachineLearning`MLProcessor["ImputeMissing", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Imputed", + "Input" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], + "Mean" -> {0.32131776562500003`, 0.0006475488281249997, + 54.28115843750001, 62.13688358789062, + 0.0006468300781249997, 15.37551884375, + 15.366363593749995`, 3.9351624042968805`, + 21.156768843750015`, 17.56210334374999}, + "StandardDeviation" -> {0.17219277032612512`, + 0.00034334978628333885`, 10.0635181210779, + 5.036723666071392, 0.000343656198044909, + 3.777251496168284, 3.7665015440454117`, + 2.2245825958269254`, 11.31889676226866, + 8.805321195748716}, "Method" -> "NaiveSampler", + "VectorLength" -> 10, "Output" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], "Type" -> + "NumericalVector"]], "Preprocessor" -> + MachineLearning`MLProcessor["ToMLDataset", + Association[ + "Input" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Length" -> 10]], "Output" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], + "Preprocessor" -> + MachineLearning`MLProcessor["Sequence", + Association["Processors" -> { + MachineLearning`MLProcessor["List"], + MachineLearning`MLProcessor["WrapMLDataset", + Association[ + "FeatureTypes" -> {"NumericalVector"}, + "FeatureKeys" -> {"f1"}, "FeatureWeights" -> Automatic, + "ExampleWeights" -> Automatic, "RawExample" -> + Missing["KeyAbsent", "RawExample"]]]}]], "ScalarFeature" -> + True, "Invertibility" -> "Perfect", "Missing" -> + "Allowed"]], "Processor" -> + MachineLearning`MLProcessor["Identity"], "Padder" -> + MachineLearning`MLProcessor["Identity"], "PostProcessor" -> + MachineLearning`MLProcessor["FromMLDataset", + Association[ + "DatasetFormat" -> Automatic, "Input" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], "Output" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Length" -> 1]], + "InversePreprocessor" -> + MachineLearning`MLProcessor["Sequence", + Association["Processors" -> { + MachineLearning`MLProcessor["List"], + MachineLearning`MLProcessor["WrapMLDataset", + Association[ + "FeatureTypes" -> {"NumericalVector"}, + "FeatureKeys" -> {"f1"}, "FeatureWeights" -> {1}, + "ExampleWeights" -> 1]]}]], "ScalarFeature" -> True, + "Invertibility" -> "Perfect", "Missing" -> "Allowed"]], + "Model" -> + Association[ + "Matrix" -> {{-0.3210963498131394}, \ +{-0.3205115175666219}, {-0.31304402079912}, {-0.3139866946404075}, \ +{-0.3199857274891772}, {-0.3139989715109537}, {-0.3126926604699092}, \ +{-0.31938243840181146`}, {-0.31361005110877693`}, {-0.31379288063964994`}}, + "Processor" -> + MachineLearning`MLProcessor["Standardize", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Allowed", + "Input" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], + "Mean" -> {0.32131776562500003`, 0.0006475488281249997, + 54.28115843750001, 62.13688358789062, + 0.0006468300781249997, 15.37551884375, + 15.366363593749995`, 3.9351624042968805`, + 21.156768843750015`, 17.56210334374999}, + "StandardDeviation" -> {0.17219277032612512`, + 0.00034334978628333885`, 10.0635181210779, + 5.036723666071392, 0.000343656198044909, + 3.777251496168284, 3.7665015440454117`, + 2.2245825958269254`, 11.31889676226866, + 8.805321195748716}, "Output" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]]]], + "FinalDimension" -> 1, "Method" -> "Linear"], + "PerformanceGoal" -> Automatic, "Invertibility" -> + "Approximate", "Log" -> + Association[ + "TrainingTime" -> 0.009754, "MaxTrainingMemory" -> 192608, + "DataMemory" -> 41080, "FunctionMemory" -> 22512, + "LanguageVersion" -> {12., 0}, "Date" -> + DateObject[{ + 2019, 9, 6, 15, 52, 11.167308`7.800523480524293}, + "Instant", "Gregorian", 1.], "ProcessorCount" -> 4, + "ProcessorType" -> "x86-64", "OperatingSystem" -> + "MacOSX", "SystemWordLength" -> 64, + "Evaluations" -> {}]]][#, "ImputedVectors", + PerformanceGoal -> "Quality"]& ), "Method" -> + "DimensionReduction", "VectorLength" -> 10, "Output" -> + Association[ + "(f1f2f3f4f5f6f7f8f9f10)" -> + Association["Type" -> "NumericalVector", "Weight" -> 10]], + "Type" -> "NumericalVector", "Version" -> {12., 0}, "ID" -> + 7607846277109504165]], + MachineLearning`MLProcessor["Standardize", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Allowed", "Input" -> + Association[ + "(f1f2f3f4f5f6f7f8f9f10)" -> + Association["Type" -> "NumericalVector", "Weight" -> 10]], + "Mean" -> {0.32131776562500003`, 0.0006475488281249997, + 54.28115843750001, 62.13688358789062, 0.0006468300781249997, + 15.37551884375, 15.366363593749995`, 3.9351624042968805`, + 21.156768843750015`, 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"FeatureKeys" -> {"f1"}, + "FeatureWeights" -> Automatic, "ExampleWeights" -> + Automatic, "RawExample" -> + Missing["KeyAbsent", "RawExample"]]]}]], "ScalarFeature" -> + True, "Invertibility" -> "Perfect", "Missing" -> "Allowed"]], + "Processor" -> MachineLearning`MLProcessor["Sequence", + Association[ + "Input" -> Association[ + "f1" -> Association["Type" -> "Numerical", "Weight" -> 1]], + "Output" -> + Association[ + "f1" -> Association["Type" -> "Numerical", "Weight" -> 1]], + "Processors" -> { + MachineLearning`MLProcessor["ToVector", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Allowed", "Input" -> + Association[ + "f1" -> Association["Type" -> "Numerical", "Weight" -> 1]], + "Output" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], + "Version" -> {12., 0}, "ID" -> 1256816160337855603]], + MachineLearning`MLProcessor["Standardize", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Allowed", "Input" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], + "Mean" -> {12.610668408310543`}, + "StandardDeviation" -> {6.818594182992085}, "Output" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], + "Version" -> {12., 0}, "ID" -> 1335426982577428998]], + MachineLearning`MLProcessor["FromVector", + Association[ + "Invertibility" -> "Perfect", "Missing" -> "Allowed", "Input" -> + Association[ + "f1" -> Association[ + "Type" -> "NumericalVector", "Weight" -> 1]], "Output" -> + Association[ + "f1" -> Association["Type" -> "Numerical", "Weight" -> 1]], + "Version" -> {12., 0}, "ID" -> 8811017529152668790]], + MachineLearning`MLProcessor["FirstValues", + Association[ + "Info" -> Association["Type" -> "Numerical", "Weight" -> 1], + "Key" -> "f1", "Invertibility" -> "Perfect", "Missing" -> + "Allowed"]]}, "Invertibility" -> "Perfect", "Missing" -> + "Allowed"]], "ProbabilityPostprocessor" -> Identity, + 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"SystemWordLength" -> 64, "Evaluations" -> {}]]], "TestSet" -> + Association["Input" -> CompressedData[" +1:eJw9mnd4VdXSxgNSAoJISUhoSQhBxAuSetLXnDQiJGTvnY6FZhARAgJ66UUh +CNIjgtTABSWAAgpqkBKKNAEpHwIhvQejoIB0+XDNO/o8/HHOk/Nz1pp33llr +9vYYOsbKaOjg4JDz9F/zp/92Lpz49WrXayrKRS2ccqu/cvjnv1yDbhe7NJwZ +alKXpPLgY06pqoVHzeMZS2xUuKZfk5l/+1Cf2WvuPnmxK3Ubtuf+jA2KMgd4 +PUM7iNSXG5XfrQr125rhs96fm8S8FxOZN9UiK7LjzJYfGcw758u8AwE0yDHo +xpPEDrRsV8Gjg2Oj+ft1gfTs5DEtGuSXqkSvU8XW2VTmXRjAvEKTvv9pelHd +2UTm3fTm3xX7gefEPIrl+EoiaFzppXFvda9Rc9s9020VmcyrM5m3xqCC98ZE +D/2gH/N2+v8bB/PcmJcTgX0Ipcr8bVVn44qV+xCXnZU9U5g3z2LeApPmND3z +1ZSXLObNDOTf/e7L+1fnzrwrMfz92WC6EhN69cyCKpWbs/F6anAC85ohH3EG +GS6fvO2Xl8a8fD/+3Vc2ju9ie+YF2nm9x+20uW2zz1ell6u9V3ZbjpUW804i +H/UGqb8vbAw/Gc+8Uh/mPecDXifO7/lQ/r63Qj5q1Zy6KS0PvZvOvFewf/+x +6NfFfVqkjUtmXk4A1uXP633bk+NzjOL47kZSvxfaxPl/U6hGNfX8q1lOGvMm +Ib6jBo18UD/z1/npzHPE/r3vy/G1dWXe7Vj+/tsgxFepNvz1aojZBuu9j/1r +ZNH6Oq9jPo+Rj1jsX4CN45vnwbykSI4vxI58lKn/Ft78oe7TeOYFIb+bLGo0 +bp5nq6gU5o3A/n3qjfi6MG828ffO4aiPGtVkxsGVvdKTmTcugXlvmjTu8Ozz +20clMK8H9i/FH7x2zOsWw/G9E0nTBkbPGFFdojJ9traoyDSY54P6SLJolNeE +FUfTTebdw/5lIb/ZzpzfoHDmeRL0Uq2CIt89vvoR9PwZ8tvOJFtAiDWtBn4Q +iPqICeD9ewV63heF/48N9Vah/m9vy5EH9yQyLx35mGBQi2CPCee84piXBj8Y +7se8k12Zt6Avx5cYgXzUqdZJC99oafRj3lXkY7dJ57+8fDsnJ4l5LvCr7qjf +7I7Mq7fz99Uh9Gr9X+kZn19VaQu9ti/clag0Z34iaRm9aZFr2vE/Ijebauut +LfcO+gbw77v70bvje7o6nOpElyYlPSqpi+D4GgfTJ4VD2n4WVKE63N9Xntu3 +H/Oam8zrZlLliEXbH/mkMW+8D/OqbZQXtLyFQ4Yn8+bFku2LZQ1yhtppSG7v +0owmpepWo8MDdo00mNfPYt5sg4avP97j531xzEv0Y16MD/Oq3JmXF83xZYTT +8VbLY06PqlYHnOY1G3kvRdXu927ksDyBeUdNml7aM8G9Pol5bQOZ1yQA623P +PFfi+JZF0iK3ngtXXi1UM2e5U9aieOYlD2De/xnUvhddG/lLOvMi/ZkX4Mu8 +fk7MM6OY14+o9/sPt/tcrFQfm5cLHiYl83q3Yv/aWRTXaZL717GJzPvQm3l/ +Ib5+bqS/HxbG671kowcRJyY9WV+m/rgaHHhldRrzRhrM223Rrk2F0xYtTmHe +MF/mOfvz/nl15fhm2Tm+yRHIR63yOjl+mttzFvOuIx8TTKrOdjpyqYHBPE8b +834JRHwdmOcBPfuH0p05S279ra4pte30J7+UgLcX8a0xySfYvdnD9y3mbYP+ +DiC/PyK+xsjvNIX4KlXzfdkJi0enMy8Yen7NoMf9ao580wj5+BX6m479m9+R 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+l33/rQPNa+POPMcY3LPDaH3KebdVk6pV4wSP1Ovp0Etjk3nJBh1pvcmqHxHH +vBsBzHP3xXqdmTeC/n2vgd9nLVT/vE3d+mPoOcNgXtVTXSe/tSe/SyLzSmzM +u+nPvM0uzMuJwj1WURM9oK1UgW0vzkl7DP+rQj42GxQ9vPfYSdvTmefmx7w+ +Prxey4Of6zcIxz3bRhfmNUo8s71MbXb658KF9xP7D2BetEk9VjXdeWJHAvOU +D/PO2Zh3wZPjO2fn9b4UgXzUqrWrAyr8ouBXm7F/cywqKTrVZm1GCvOeIL/P ++2G9nZk3ti/HtyIE79teU7Pzin6aNg7z+18R37Sn56HZl9IOF0B/qdDfROjl +Tw/mJUVzfHMJ8VWqcWavrvNPwu/vIL79Jg0e/9y6ZvEW81Zg/7735viqXHn/ +3lb/3us4H6XKzXty5oaXkI89yO/rFh17+O7Dquxk5n2H/UuzgdeO45sdwfF9 +F4H6qFHX7fYXB+bhfO8PPXc26c6l5FkDWwxg3n+hv5XQX1UX5nWL/fc9J34f +uFhdvrpkxvDncV67BN6XFvXa8dqY1bkG896C/mIDef++dv/3vTCeAwRDL1Xq +u2mLH/zqhHpLxv6NNun+Qc+eSbZU5n2BevsI+c1oz7x9Mbze9XbUW7nq1ORW +6onXcB5aDj2fMWhJ/J+e03/sx7zj3swbEQBeJ+bVw19KwpGPWmXeeWltq59x +XnNCPlo+Pf/Z8k//9ybqbS70twX14ePJ+f0slOP7OZL+H9AsAiY= + "], + "Output" -> CompressedData[" +1:eJwNlPk3FAgAxylnjBlzMveRY1oiISr13RxDL+vIsV165Vp0p0hPVihnj5Yl +k5qXrKgXk2IpbdZVb+OpkLuXq9ZMoxhks2v98PkLPp/3ERw+7h+uqaGhIVvB 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GrayLevel[0.95], Alignment -> {Left, Baseline}], + Pane[ + Annotation[ + RawBoxes["1/3"], + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[ + 18346973][ + GeneralUtilities`Slice[ + Key["FeatureFraction"]]], "Mouse"], + ImageSize -> {{34, Full}, Automatic}, + Alignment -> {Left, Baseline}]}, { + Item[ + Annotation[ + EventHandler[ + MouseAppearance[ + Mouseover[ + Pane[ + RawBoxes[ + StyleBox["\"LeafSize\"", FontColor -> GrayLevel[0.4]]], {{ + 20, Full}, 15}], + Style[ + Pane[ + RawBoxes[ + StyleBox[ + "\"LeafSize\"", FontColor -> + RGBColor[0.27450980392156865`, 0.5372549019607843, + 0.792156862745098]]], {{20, Full}, 15}], FontColor -> + RGBColor[0.27450980392156865`, 0.5372549019607843, + 0.792156862745098]]], "LinkHand"], {"MouseClicked", 1} :> + TypeSystem`NestedGrid`PackagePrivate`updateState[ + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`$path$$, + TypeSystem`NestedGrid`PackagePrivate`$pos$$, + TypeSystem`NestedGrid`PackagePrivate`$grid$$, 18346973][{ + Key["LeafSize"]}]], + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[ + 18346973][ + GeneralUtilities`Slice[ + Key["LeafSize"]]], "Mouse"], Background -> + GrayLevel[0.95], Alignment -> {Left, Baseline}], + Pane[ + Annotation[ + RawBoxes["10"], + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[ + 18346973][ + GeneralUtilities`Slice[ + Key["LeafSize"]]], "Mouse"], + ImageSize -> {{34, Full}, Automatic}, + Alignment -> {Left, Baseline}]}, { + Item[ + Annotation[ + EventHandler[ + MouseAppearance[ + Mouseover[ + Pane[ + RawBoxes[ + StyleBox[ + "\"TreeNumber\"", FontColor -> GrayLevel[0.4]]], {{ + 20, Full}, 15}], + Style[ + Pane[ + RawBoxes[ + StyleBox[ + "\"TreeNumber\"", FontColor -> + RGBColor[0.27450980392156865`, 0.5372549019607843, + 0.792156862745098]]], {{20, Full}, 15}], FontColor -> + RGBColor[0.27450980392156865`, 0.5372549019607843, + 0.792156862745098]]], "LinkHand"], {"MouseClicked", 1} :> + TypeSystem`NestedGrid`PackagePrivate`updateState[ + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`$path$$, + TypeSystem`NestedGrid`PackagePrivate`$pos$$, + TypeSystem`NestedGrid`PackagePrivate`$grid$$, 18346973][{ + Key["TreeNumber"]}]], + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[ + 18346973][ + GeneralUtilities`Slice[ + Key["TreeNumber"]]], "Mouse"], Background -> + GrayLevel[0.95], Alignment -> {Left, Baseline}], + Pane[ + Annotation[ + RawBoxes["50"], + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[ + 18346973][ + GeneralUtilities`Slice[ + Key["TreeNumber"]]], "Mouse"], + ImageSize -> {{34, Full}, Automatic}, + Alignment -> {Left, Baseline}]}, { + Item[ + Annotation[ + EventHandler[ + MouseAppearance[ + Mouseover[ + Pane[ + RawBoxes[ + StyleBox[ + "\"DistributionSmoothing\"", FontColor -> + GrayLevel[0.4]]], {{20, Full}, 15}], + Style[ + Pane[ + RawBoxes[ + StyleBox["\"DistributionSmoothing\"", FontColor -> + RGBColor[0.27450980392156865`, 0.5372549019607843, + 0.792156862745098]]], {{20, Full}, 15}], FontColor -> + RGBColor[0.27450980392156865`, 0.5372549019607843, + 0.792156862745098]]], "LinkHand"], {"MouseClicked", 1} :> + TypeSystem`NestedGrid`PackagePrivate`updateState[ + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`$path$$, + TypeSystem`NestedGrid`PackagePrivate`$pos$$, + TypeSystem`NestedGrid`PackagePrivate`$grid$$, 18346973][{ + Key["DistributionSmoothing"]}]], + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[ + 18346973][ + GeneralUtilities`Slice[ + Key["DistributionSmoothing"]]], "Mouse"], Background -> + GrayLevel[0.95], Alignment -> {Left, Baseline}], + Pane[ + Annotation[ + RawBoxes["0.5"], + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[ + 18346973][ + GeneralUtilities`Slice[ + Key["DistributionSmoothing"]]], "Mouse"], + ImageSize -> {{60, Full}, Automatic}, + Alignment -> {Left, Baseline}]}}, + BaseStyle -> {ContextMenu -> { + MenuItem["Copy position to clipboard", + KernelExecute[ + TypeSystem`NestedGrid`PackagePrivate`toCurrentPosition[ + TypeSystem`NestedGrid`PackagePrivate`copyClip]], + MenuEvaluator -> Automatic], + MenuItem["Copy data to clipboard", + KernelExecute[ + TypeSystem`NestedGrid`PackagePrivate`toCurrentData[ + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`copyClip]], + MenuEvaluator -> Automatic], Delimiter, + MenuItem["Paste position in new cell", + KernelExecute[ + TypeSystem`NestedGrid`PackagePrivate`toCurrentPosition[ + TypeSystem`NestedGrid`PackagePrivate`cellPaste]], + MenuEvaluator -> Automatic], + MenuItem["Paste data in new cell", + KernelExecute[ + TypeSystem`NestedGrid`PackagePrivate`toCurrentData[ + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`cellPaste]], + MenuEvaluator -> Automatic]}, FontFamily -> "Verdana", + FontSize -> 12}, Alignment -> Left, RowMinHeight -> 1.5, + Dividers -> All, FrameStyle -> GrayLevel[0.85], + BaseStyle -> {FontFamily -> "Verdana", FontSize -> 12}], + LineBreakWithin -> False, ContextMenu -> {}, NumberMarks -> + False, ShowAutoStyles -> False]], + TypeSystem`NestedGrid`PackagePrivate`initialQ = True, + TypeSystem`NestedGrid`PackagePrivate`self = $Failed}, + Dynamic[ + TypeSystem`NestedGrid`PackagePrivate`setupViewPath[ + TypeSystem`NestedGrid`PackagePrivate`$path$$, If[ + Not[TypeSystem`NestedGrid`PackagePrivate`initialQ], + + Module[{ + TypeSystem`NestedGrid`PackagePrivate`tmpGrid$ = $Failed, + TypeSystem`NestedGrid`PackagePrivate`tmpData$ = + TypeSystem`NestedGrid`PackagePrivate`LookupCacheValue[ + TypeSystem`NestedGrid`PackagePrivate`$state$$["Data"]]}, + TypeSystem`NestedGrid`PackagePrivate`tmpGrid$ = + If[TypeSystem`NestedGrid`PackagePrivate`tmpData$ === + TypeSystem`NestedGrid`PackagePrivate`$NotCached, + TypeSystem`NestedGrid`PackagePrivate`renderedGrid, + TypeSystem`NestedGrid`PackagePrivate`renderGrid[ + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`$path$$, + TypeSystem`NestedGrid`PackagePrivate`$pos$$, + TypeSystem`NestedGrid`PackagePrivate`$grid$$, 18346973][ + TypeSystem`NestedGrid`PackagePrivate`tmpData$]]; If[ + Not[ + FailureQ[TypeSystem`NestedGrid`PackagePrivate`tmpGrid$]], + TypeSystem`NestedGrid`PackagePrivate`renderedGrid = + TypeSystem`NestedGrid`PackagePrivate`tmpGrid$]; Null]]; + TypeSystem`NestedGrid`PackagePrivate`initialQ = False; + TypeSystem`NestedGrid`PackagePrivate`$pos$$; If[ + FailureQ[ + TypeSystem`NestedGrid`PackagePrivate`renderedGrid], + TypeSystem`SparseGrid[ + TypeSystem`H["(data no longer present)"]], + If[GeneralUtilities`$DebugMode, + + Row[{TypeSystem`NestedGrid`PackagePrivate`renderedGrid, + " ", + TypeSystem`NestedGrid`PackagePrivate`formatState[ + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`$path$$, + TypeSystem`NestedGrid`PackagePrivate`$pos$$]}], + TypeSystem`NestedGrid`PackagePrivate`renderedGrid]]], + TrackedSymbols :> { + TypeSystem`NestedGrid`PackagePrivate`$pos$$}], + DynamicModuleValues :> {}], + TypeSystem`NestedGrid`PackagePrivate`$posCell$$, + TypeSystem`NestedGrid`PackagePrivate`$topBar$$ = Dynamic[ + TypeSystem`NestedGrid`PackagePrivate`alignBar[ + TypeSystem`NestedGrid`PackagePrivate`$state$$][ + TypeSystem`NestedGrid`PackagePrivate`makeFramedBar[ + TypeSystem`PackageScope`Pathbar[ + TypeSystem`NestedGrid`PackagePrivate`$path$$, + TypeSystem`NestedGrid`PackagePrivate`updateState[ + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`$path$$, + TypeSystem`NestedGrid`PackagePrivate`$pos$$, + TypeSystem`NestedGrid`PackagePrivate`$grid$$, + 18346973]]]], + TrackedSymbols :> { + TypeSystem`NestedGrid`PackagePrivate`$path$$}], + TypeSystem`NestedGrid`PackagePrivate`$bottomBar$$ = Framed[ + Dynamic[ + Replace[ + MouseAnnotation[Null], { + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[ + 18346973][Null] -> "", + TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[ + 18346973][ + Pattern[TypeSystem`NestedGrid`PackagePrivate`path, + Blank[]]] :> ( + TypeSystem`NestedGrid`PackagePrivate`$lastPath = + TypeSystem`NestedGrid`PackagePrivate`path; + TypeSystem`NestedGrid`PackagePrivate`makePathTrail[ + TypeSystem`NestedGrid`PackagePrivate`path, + TypeSystem`NestedGrid`PackagePrivate`makePathElements]), + Null :> Spacer[10], Blank[] :> Spacer[10]}], + TrackedSymbols :> {}], FrameStyle -> None, ImageMargins -> + 0, FrameMargins -> 0, Alignment -> Top, + ImageSize -> {Automatic, 14}]}, + DynamicBox[ + ToBoxes[ + Column[ + If[TypeSystem`NestedGrid`PackagePrivate`$path$$ == {}, { + TypeSystem`NestedGrid`PackagePrivate`displayScrollBar[ + TypeSystem`NestedGrid`PackagePrivate`$grid$$, + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`$pos$$], + TypeSystem`NestedGrid`PackagePrivate`onDesktopShow[ + TypeSystem`NestedGrid`PackagePrivate`alignBar[ + TypeSystem`NestedGrid`PackagePrivate`$state$$][ + TypeSystem`NestedGrid`PackagePrivate`$bottomBar$$]]}, { + TypeSystem`NestedGrid`PackagePrivate`$topBar$$, + TypeSystem`NestedGrid`PackagePrivate`displayScrollBar[ + TypeSystem`NestedGrid`PackagePrivate`$grid$$, + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`$pos$$], + TypeSystem`NestedGrid`PackagePrivate`onDesktopShow[ + TypeSystem`NestedGrid`PackagePrivate`alignBar[ + TypeSystem`NestedGrid`PackagePrivate`$state$$][ + TypeSystem`NestedGrid`PackagePrivate`$bottomBar$$]]}], + Spacings -> + If[TypeSystem`NestedGrid`PackagePrivate`$path$$ == {}, + 0, {{}, {0, 0.05, 0}}]], StandardForm], + TrackedSymbols :> { + TypeSystem`NestedGrid`PackagePrivate`$state$$, + TypeSystem`NestedGrid`PackagePrivate`$grid$$}], + Initialization :> Block[{$ContextPath = $ContextPath}, + Needs["TypeSystem`"]], DynamicModuleValues :> {}, + BaseStyle -> {LineBreakWithin -> False}, Deinitialization :> + TypeSystem`NestedGrid`PackagePrivate`deleteState[ + TypeSystem`NestedGrid`PackagePrivate`$state$$]], Deploy, + DefaultBaseStyle -> "Deploy"]}, "CopyTag", + DisplayFunction -> (#& ), + InterpretationFunction -> ("Dataset[<>]"& )]], + Annotation[#, + Dataset[ + Association[ + "FeatureFraction" -> Rational[1, 3], "LeafSize" -> 10, + "TreeNumber" -> 50, "DistributionSmoothing" -> 0.5], + + TypeSystem`Struct[{ + "FeatureFraction", "LeafSize", "TreeNumber", + "DistributionSmoothing"}, { + TypeSystem`Atom[Rational], + TypeSystem`Atom[Integer], + TypeSystem`Atom[Integer], + TypeSystem`Atom[Real]}], + Association["ID" -> 79010397628064]], "Tooltip"]& ]}, + { + + TemplateBox[{ + TemplateBox[{5}, "Spacer1"],StyleBox[ + "\"Single evaluation time\"", + GrayLevel[0.4], StripOnInput -> False]}, + "RowDefault"], + + TemplateBox[{ + "4.61`", + RowBox[{ + "\"ms\"", "\[InvisibleSpace]", "\"/\"", "\[InvisibleSpace]", + "\"example\""}],"milliseconds per example",FractionBox[ + "\"Milliseconds\"", "\"Examples\""]}, + "Quantity"]}, + { + + TemplateBox[{ + TemplateBox[{5}, "Spacer1"],StyleBox[ + "\"Batch evaluation speed\"", + GrayLevel[0.4], StripOnInput -> False]}, + "RowDefault"], + + TemplateBox[{ + "34.3`", + RowBox[{ + "\"examples\"", "\[InvisibleSpace]", "\"/\"", + "\[InvisibleSpace]", "\"ms\""}],"examples per millisecond", + FractionBox["\"Examples\"", "\"Milliseconds\""]}, + "Quantity"]}, + { + TemplateBox[{TemplateBox[{5}, "Spacer1"],StyleBox[ + TagBox[ + TooltipBox[ + "\"Loss\"", "\"Mean cross entropy\"", LabelStyle -> + "TextStyling"], + Annotation[#, "Mean cross entropy", "Tooltip"]& ], + GrayLevel[0.4], StripOnInput -> False]}, + "RowDefault"], + TagBox[ + TooltipBox[ + TemplateBox[{"2.5289644566166629147`3.",StyleBox[ + + TemplateBox[{ + "\" \[PlusMinus] \"", "0.0551961021111977909`2."}, + "RowDefault"], {10, + Opacity[0.5]}, StripOnInput -> False]}, + "RowDefault"], + + TemplateBox[{ + "\"95% confidence interval: [\"", "2.41857225239426743`3.", + "\", \"", "2.6393566608390583994`3.", "\"]\""}, + "RowDefault"], + TooltipStyle->{}], + Annotation[#, + + Row[{"95% confidence interval: [", 2.41857225239426743`3., + ", ", 2.6393566608390583994`3., "]"}], "Tooltip"]& ]}, + { + + TemplateBox[{ + TemplateBox[{5}, "Spacer1"],StyleBox["\"Model memory\"", + GrayLevel[0.4], StripOnInput -> False]}, + "RowDefault"], + TemplateBox[{"257.`","\"kB\"","kilobytes","\"Kilobytes\""}, + "Quantity"]}, + { + + TemplateBox[{ + TemplateBox[{5}, "Spacer1"],StyleBox[ + "\"Training examples used\"", + GrayLevel[0.4], StripOnInput -> False]}, + "RowDefault"], + TemplateBox[{"512","\"examples\"","examples","\"Examples\""}, + "Quantity"]}, + { + + TemplateBox[{ + TemplateBox[{5}, "Spacer1"],StyleBox["\"Training time\"", + GrayLevel[0.4], StripOnInput -> False]}, + "RowDefault"], + TemplateBox[{"1.58`","\"s\"","seconds","\"Seconds\""}, + "Quantity"]}, + { + ItemBox[ + + DynamicModuleBox[{ + MachineLearning`file12Panel`PackagePrivate`pos$$ = 1}, + DynamicBox[ToBoxes[ + Show[ + Part[{ + Graphics[{{{}, {{{}, {}, { + Hue[0.67, 0.6, 0.6], + Directive[ + PointSize[0.012833333333333334`], + RGBColor[0.368417, 0.506779, 0.709798], + AbsoluteThickness[1.6]], + + Line[{{2.302585092994046, 1.8060733346920361`}, { + 4.248495242049359, 1.4239708904513304`}, { + 6.016157159698354, 1.1033460869279084`}}]}}, {{ + Directive[ + PointSize[0.012833333333333334`], + RGBColor[0.368417, 0.506779, 0.709798], + AbsoluteThickness[1.6]], + GeometricTransformation[ + Inset[ + Style[ + Graphics[{ + EdgeForm[], + Disk[{0, 0}]}], + GraphicsBoxOptions -> {DefaultBaseStyle -> Directive[ + PointSize[0.012833333333333334`], + RGBColor[0.368417, 0.506779, 0.709798], + AbsoluteThickness[1.6]]}], {0., 0.}, Automatic, + Offset[6.272]], {{{2.302585092994046, + 1.8060733346920361`}}, {{4.248495242049359, + 1.4239708904513304`}}, {{6.016157159698354, + 1.1033460869279084`}}}]}}, {{ + Directive[ + PointSize[0.012833333333333334`], + RGBColor[0.368417, 0.506779, 0.709798], + 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AbsoluteThickness[1.6], + RGBColor[0.368417, 0.506779, 0.709798]]}, { + Directive[ + PointSize[0.012833333333333334`], + AbsoluteThickness[1.6], + RGBColor[0.368417, 0.506779, 0.709798]]}, { + Directive[ + PointSize[0.012833333333333334`], + AbsoluteThickness[1.6], + RGBColor[0.368417, 0.506779, 0.709798]]}}, {{ + Directive[ + PointSize[0.012833333333333334`], + AbsoluteThickness[1.6], + RGBColor[0.368417, 0.506779, 0.709798]]}, { + Directive[ + PointSize[0.012833333333333334`], + AbsoluteThickness[1.6], + RGBColor[0.368417, 0.506779, 0.709798]]}, { + Directive[ + PointSize[0.012833333333333334`], + AbsoluteThickness[1.6], + RGBColor[ + 0.368417, 0.506779, + 0.709798]]}, {}, {}, {}, {}, {}, {}, {}}, {{ + Directive[ + PointSize[0.012833333333333334`], + AbsoluteThickness[1.6], + RGBColor[0.368417, 0.506779, 0.709798]]}, { + Directive[ + PointSize[0.012833333333333334`], + AbsoluteThickness[1.6], + RGBColor[0.368417, 0.506779, 0.709798]]}, { + Directive[ + PointSize[0.012833333333333334`], + AbsoluteThickness[1.6], + RGBColor[ + 0.368417, 0.506779, + 0.709798]]}, {}, {}, {}, {}, {}, {}, {}}}, {{}, {}}}}, { + DisplayFunction -> Identity, DisplayFunction -> Identity, + AspectRatio -> GoldenRatio^(-1), Axes -> {True, True}, + AxesLabel -> {None, None}, + AxesOrigin -> {2.2222638780543424`, 1.064305684274346}, + DisplayFunction :> Identity, + Frame -> {{True, True}, {True, True}}, + FrameLabel -> {{None, None}, { + "training examples used", None}}, FrameTicks -> {{Quiet[ + Charting`ScaledTicks[{Log, Exp}][#, #2, {6, 6}]]& , {}}, { + Quiet[ + Charting`ScaledTicks[{Log, Exp}][#, #2, {6, 6}]]& , {}}}, + GridLines -> { + Charting`ScaledTickValues[{Log, Exp}][#, #2, {6, 6}]& , + Charting`ScaledTickValues[{Log, Exp}][#, #2, {6, 6}]& }, + GridLinesStyle -> Directive[ + GrayLevel[0.5, 0.4]], ImageMargins -> 0, + ImagePadding -> {{Automatic, 10}, {37, 0}}, ImageSize -> + 330, LabelStyle -> 10, + Method -> { + "OptimizePlotMarkers" -> True, + "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ + (Exp[#]& )[ + Part[#, 1]], + (Exp[#]& )[ + Part[#, 2]]}& ), "CopiedValueFunction" -> ({ + (Exp[#]& )[ + Part[#, 1]], + (Exp[#]& )[ + Part[#, 2]]}& )}}, PlotRange -> {{2.2222638780543424`, + Log[512]}, {1.064305684274346, 1.8060733346920361`}}, + PlotRangeClipping -> True, PlotRangePadding -> {{ + Scaled[0.02], 0}, { + Scaled[0.02], + Scaled[0.05]}}, Ticks -> {Quiet[ + Charting`ScaledTicks[{Log, Exp}][#, #2, {6, 6}]]& , Quiet[ + + Charting`ScaledTicks[{Log, Exp}][#, #2, {6, 6}]]& }}], + Graphics[{{{}, {{{}, {}, { + Hue[0.67, 0.6, 0.6], + Directive[ + PointSize[0.012833333333333334`], + RGBColor[0.368417, 0.506779, 0.709798], + AbsoluteThickness[1.6]], + + Line[{{2.302585092994046, 3.269915113321377}, { + 4.248495242049359, 2.856727734557233}, {6.016157159698354, + 2.528964456616663}}]}}, {{ + Directive[ + PointSize[0.012833333333333334`], + RGBColor[0.368417, 0.506779, 0.709798], + AbsoluteThickness[1.6]], + GeometricTransformation[ 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RowBox[{"AbsolutePointSize", "[", "6", "]"}]}], "]"}], ",", + RowBox[{"Directive", "[", + RowBox[{ + InterpretationBox[ + ButtonBox[ + TooltipBox[ + GraphicsBox[{{ + GrayLevel[0], + RectangleBox[{0, 0}]}, { + GrayLevel[0], + RectangleBox[{1, -1}]}, { + Hue[0.11, 1, 0.75], + RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> + "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, + FrameStyle -> Hue[0.11, 1., 0.5], FrameTicks -> None, + PlotRangePadding -> None, ImageSize -> + Dynamic[{ + Automatic, + 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ + Magnification])}]], + StyleBox[ + RowBox[{"Hue", "[", + RowBox[{"0.11`", ",", "1", ",", "0.75`"}], "]"}], + NumberMarks -> False]], Appearance -> None, + BaseStyle -> {}, BaselinePosition -> Baseline, + DefaultBaseStyle -> {}, ButtonFunction :> + With[{Typeset`box$ = EvaluationBox[]}, + If[ + Not[ + AbsoluteCurrentValue["Deployed"]], + SelectionMove[Typeset`box$, All, Expression]; + FrontEnd`Private`$ColorSelectorInitialAlpha = 1; + FrontEnd`Private`$ColorSelectorInitialColor = + Hue[0.11, 1, 0.75]; + FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; + MathLink`CallFrontEnd[ + FrontEnd`AttachCell[Typeset`box$, + FrontEndResource["HueColorValueSelector"], { + 0, {Left, Bottom}}, {Left, Top}, + "ClosingActions" -> { + "SelectionDeparture", "ParentChanged", + "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> + Automatic, Method -> "Preemptive"], + Hue[0.11, 1, 0.75], Editable -> False, Selectable -> + False], ",", + RowBox[{"AbsolutePointSize", "[", "6", "]"}]}], "]"}]}], + "}"}], ",", + RowBox[{"{", + RowBox[{#, ",", #2, ",", #3, ",", #4, ",", #5}], "}"}], ",", + RowBox[{"LabelStyle", "\[Rule]", "8"}], ",", + RowBox[{"LegendMarkerSize", "\[Rule]", "12"}], ",", + RowBox[{"LegendMargins", "\[Rule]", "2"}], ",", + RowBox[{ + "LegendLayout", "\[Rule]", + "GeneralUtilities`Graphics`PackagePrivate`legendTable"}]}], + "]"}]& ), Editable -> True], TraditionalForm], TraditionalForm]}, + "Legended", + 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-> NeuralNetworks`TensorT[{10}, + NeuralNetworks`RealT], "MovingMean" -> + NeuralNetworks`TensorT[{10}, NeuralNetworks`RealT], + "MovingVariance" -> + NeuralNetworks`TensorT[{10}, NeuralNetworks`RealT]], + "Parameters" -> + Association[ + "Momentum" -> 0.9, "Epsilon" -> 0.001, "Interleaving" -> + False, "Channels" -> 10, "$SpatialDimensions" -> {}], + "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{10}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{10}, NeuralNetworks`RealT]]], "3" -> + Association[ + "Type" -> "Elementwise", "Arrays" -> Association[], + "Parameters" -> + Association[ + "Function" -> NeuralNetworks`ValidatedParameter[Tanh], + "$Dimensions" -> {10}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{10}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{10}, NeuralNetworks`RealT]]], "4" -> + Association[ + "Type" -> "Linear", "Arrays" -> + Association[ + "Weights" -> + NeuralNetworks`TensorT[{15, 10}, NeuralNetworks`RealT], + "Biases" -> NeuralNetworks`Nullable[ + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]]], + "Parameters" -> + Association[ + "OutputDimensions" -> {15}, "$OutputSize" -> 15, + "$InputSize" -> 10, "$InputDimensions" -> {10}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{10}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]]], "5" -> + Association[ + "Type" -> "Linear", "Arrays" -> + Association[ + "Weights" -> + NeuralNetworks`TensorT[{15, 15}, NeuralNetworks`RealT], + "Biases" -> NeuralNetworks`Nullable[ + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]]], + "Parameters" -> + Association[ + "OutputDimensions" -> {15}, "$OutputSize" -> 15, + "$InputSize" -> 15, "$InputDimensions" -> {15}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]]], "6" -> + Association[ + "Type" -> "Linear", "Arrays" -> + Association[ + "Weights" -> + NeuralNetworks`TensorT[{15, 15}, NeuralNetworks`RealT], + "Biases" -> NeuralNetworks`Nullable[ + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]]], + "Parameters" -> + Association[ + "OutputDimensions" -> {15}, "$OutputSize" -> 15, + "$InputSize" -> 15, "$InputDimensions" -> {15}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]]], "7" -> + Association[ + "Type" -> "Linear", "Arrays" -> + Association[ + "Weights" -> + NeuralNetworks`TensorT[{15, 15}, NeuralNetworks`RealT], + "Biases" -> NeuralNetworks`Nullable[ + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]]], + "Parameters" -> + Association[ + "OutputDimensions" -> {15}, "$OutputSize" -> 15, + "$InputSize" -> 15, "$InputDimensions" -> {15}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]]], "8" -> + Association[ + "Type" -> "Linear", "Arrays" -> + Association[ + "Weights" -> + NeuralNetworks`TensorT[{15, 15}, NeuralNetworks`RealT], + "Biases" -> NeuralNetworks`Nullable[ + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]]], + "Parameters" -> + Association[ + "OutputDimensions" -> {15}, "$OutputSize" -> 15, + "$InputSize" -> 15, "$InputDimensions" -> {15}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]]], "9" -> + Association[ + "Type" -> "Linear", "Arrays" -> + Association[ + "Weights" -> + NeuralNetworks`TensorT[{15, 15}, NeuralNetworks`RealT], + "Biases" -> NeuralNetworks`Nullable[ + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]]], + "Parameters" -> + Association[ + "OutputDimensions" -> {15}, "$OutputSize" -> 15, + "$InputSize" -> 15, "$InputDimensions" -> {15}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]]], + "10" -> Association[ + "Type" -> "Linear", "Arrays" -> + Association[ + "Weights" -> + NeuralNetworks`TensorT[{15, 15}, NeuralNetworks`RealT], + "Biases" -> NeuralNetworks`Nullable[ + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]]], + "Parameters" -> + Association[ + "OutputDimensions" -> {15}, "$OutputSize" -> 15, + "$InputSize" -> 15, "$InputDimensions" -> {15}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]]], + "11" -> Association[ + "Type" -> "Linear", "Arrays" -> + Association[ + "Weights" -> + NeuralNetworks`TensorT[{15, 15}, NeuralNetworks`RealT], + "Biases" -> NeuralNetworks`Nullable[ + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]]], + "Parameters" -> + Association[ + "OutputDimensions" -> {15}, "$OutputSize" -> 15, + "$InputSize" -> 15, "$InputDimensions" -> {15}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]]], + "12" -> Association[ + "Type" -> "Linear", "Arrays" -> + Association[ + "Weights" -> + NeuralNetworks`TensorT[{15, 15}, NeuralNetworks`RealT], + "Biases" -> NeuralNetworks`Nullable[ + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]]], + "Parameters" -> + Association[ + "OutputDimensions" -> {15}, "$OutputSize" -> 15, + "$InputSize" -> 15, "$InputDimensions" -> {15}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]]], + "13" -> Association[ + "Type" -> "Linear", "Arrays" -> + Association[ + "Weights" -> + NeuralNetworks`TensorT[{15, 15}, NeuralNetworks`RealT], + "Biases" -> NeuralNetworks`Nullable[ + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]]], + "Parameters" -> + Association[ + "OutputDimensions" -> {15}, "$OutputSize" -> 15, + "$InputSize" -> 15, "$InputDimensions" -> {15}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]]], + "14" -> Association[ + "Type" -> "Linear", "Arrays" -> + Association[ + "Weights" -> + NeuralNetworks`TensorT[{15, 15}, NeuralNetworks`RealT], + "Biases" -> NeuralNetworks`Nullable[ + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]]], + "Parameters" -> + Association[ + "OutputDimensions" -> {15}, "$OutputSize" -> 15, + "$InputSize" -> 15, "$InputDimensions" -> {15}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]]], + "15" -> Association[ + "Type" -> "BatchNormalization", "Arrays" -> + Association[ + "Gamma" -> + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT], + "Beta" -> NeuralNetworks`TensorT[{15}, + NeuralNetworks`RealT], "MovingMean" -> + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT], + "MovingVariance" -> + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]], + "Parameters" -> + Association[ + "Momentum" -> 0.9, "Epsilon" -> 0.001, "Interleaving" -> + False, "Channels" -> 15, "$SpatialDimensions" -> {}], + "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]]], + "16" -> Association[ + "Type" -> "Elementwise", "Arrays" -> Association[], + "Parameters" -> + Association[ + "Function" -> NeuralNetworks`ValidatedParameter[Tanh], + "$Dimensions" -> {15}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]]], + "17" -> Association[ + "Type" -> "Linear", "Arrays" -> + Association[ + "Weights" -> + NeuralNetworks`TensorT[{1, 15}, NeuralNetworks`RealT], + "Biases" -> NeuralNetworks`Nullable[ + NeuralNetworks`TensorT[{1}, NeuralNetworks`RealT]]], + "Parameters" -> + Association[ + "OutputDimensions" -> {1}, "$OutputSize" -> 1, + "$InputSize" -> 15, "$InputDimensions" -> {15}], "Inputs" -> + Association[ + "Input" -> + NeuralNetworks`TensorT[{15}, NeuralNetworks`RealT]], + "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{1}, NeuralNetworks`RealT]]]], + "Edges" -> { + NeuralNetworks`NetPath["Nodes", "1", "Inputs", "Input"] -> + NeuralNetworks`NetPath["Inputs", "Input"], + NeuralNetworks`NetPath["Nodes", "2", "Inputs", "Input"] -> + NeuralNetworks`NetPath["Nodes", "1", "Outputs", "Output"], + NeuralNetworks`NetPath["Nodes", "3", "Inputs", "Input"] -> + NeuralNetworks`NetPath["Nodes", "2", "Outputs", "Output"], + NeuralNetworks`NetPath["Nodes", "4", "Inputs", "Input"] -> + NeuralNetworks`NetPath["Nodes", "3", "Outputs", "Output"], + NeuralNetworks`NetPath["Nodes", "5", "Inputs", "Input"] -> + NeuralNetworks`NetPath["Nodes", "4", "Outputs", "Output"], + NeuralNetworks`NetPath["Nodes", "6", "Inputs", "Input"] -> + NeuralNetworks`NetPath["Nodes", "5", "Outputs", "Output"], + NeuralNetworks`NetPath["Nodes", "7", "Inputs", "Input"] -> + NeuralNetworks`NetPath["Nodes", "6", "Outputs", "Output"], + NeuralNetworks`NetPath["Nodes", "8", "Inputs", "Input"] -> + NeuralNetworks`NetPath["Nodes", "7", "Outputs", "Output"], + NeuralNetworks`NetPath["Nodes", "9", "Inputs", "Input"] -> + NeuralNetworks`NetPath["Nodes", "8", "Outputs", "Output"], + NeuralNetworks`NetPath["Nodes", "10", "Inputs", "Input"] -> + NeuralNetworks`NetPath["Nodes", "9", "Outputs", "Output"], + NeuralNetworks`NetPath["Nodes", "11", "Inputs", "Input"] -> + NeuralNetworks`NetPath[ + "Nodes", "10", "Outputs", "Output"], + NeuralNetworks`NetPath["Nodes", "12", "Inputs", "Input"] -> + NeuralNetworks`NetPath[ + "Nodes", "11", "Outputs", "Output"], + NeuralNetworks`NetPath["Nodes", "13", "Inputs", "Input"] -> + NeuralNetworks`NetPath[ + "Nodes", "12", "Outputs", "Output"], + NeuralNetworks`NetPath["Nodes", "14", "Inputs", "Input"] -> + NeuralNetworks`NetPath[ + "Nodes", "13", "Outputs", "Output"], + NeuralNetworks`NetPath["Nodes", "15", "Inputs", "Input"] -> + NeuralNetworks`NetPath[ + "Nodes", "14", "Outputs", "Output"], + NeuralNetworks`NetPath["Nodes", "16", "Inputs", "Input"] -> + NeuralNetworks`NetPath[ + "Nodes", "15", "Outputs", "Output"], + NeuralNetworks`NetPath["Nodes", "17", "Inputs", "Input"] -> + NeuralNetworks`NetPath[ + "Nodes", "16", "Outputs", "Output"], + NeuralNetworks`NetPath["Outputs", "Output"] -> + NeuralNetworks`NetPath[ + "Nodes", "17", "Outputs", "Output"]}, "Inputs" -> + Association["Input" -> NeuralNetworks`TensorT[ + NeuralNetworks`ListT[ + NeuralNetworks`NaturalT, NeuralNetworks`SizeT], + NeuralNetworks`RealT]], "Outputs" -> + Association[ + "Output" -> + NeuralNetworks`TensorT[{1}, NeuralNetworks`RealT]]], + NeuralNetworks`Private`NetChain`opart, + NeuralNetworks`Private`NetChain`part, + NeuralNetworks`Private`NetChain`selected = Null}, + DynamicBox[ + GridBox[{{ + NeuralNetworks`Private`NetChain`MouseClickBoxes[ + TagBox[ + GridBox[{{ + TagBox[ + TagBox[ + "\"\"", Annotation[#, {"Inputs", "Input"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + "\"Input\"", + Annotation[#, {"Inputs", "Input"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + "\"tensor\"", + Annotation[#, {"Inputs", "Input"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"1\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "1"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "1"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"10\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "1"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"2\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "2"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["BatchNormalizationLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "2"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"10\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "2"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"3\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "3"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["Tanh", + GrayLevel[0], StripOnInput -> False], + Annotation[#, {"Nodes", "3"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"10\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "3"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"4\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "4"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "4"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"15\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "4"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"5\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "5"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "5"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"15\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "5"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"6\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "6"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "6"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"15\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "6"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"7\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "7"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "7"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"15\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "7"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"8\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "8"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "8"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"15\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "8"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"9\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "9"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "9"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"15\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "9"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"10\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "10"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "10"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"15\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "10"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"11\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "11"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "11"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"15\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "11"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"12\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "12"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "12"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"15\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "12"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"13\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "13"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "13"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"15\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "13"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"14\"", + GrayLevel[0.5], 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GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "2"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["Tanh", + GrayLevel[0], StripOnInput -> False], + Annotation[#, {"Nodes", "2"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + "\"array\"", Annotation[#, {"Nodes", "2"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"3\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "3"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "3"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"50\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + 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Annotation[#, {"Nodes", "5"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "5"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"50\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "5"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"6\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "6"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "6"}, "Mouse"]& ], + 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TemplateBox[{"\[Times]", "\"\[Times]\"", "\"50\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "11"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"12\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "12"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "12"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"50\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "12"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"13\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "13"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + StyleBox["LinearLayer", + RGBColor[0.66, 0, 0], StripOnInput -> False], + Annotation[#, {"Nodes", "13"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + TemplateBox[{"\"vector\"", "\" \"", + StyleBox[ + + TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", + "\":\"", "\" \"", + + TemplateBox[{"\[Times]", "\"\[Times]\"", "\"50\""}, + "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, + "RowDefault"], + GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], + Annotation[#, {"Nodes", "13"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]]}, { + TagBox[ + TagBox[ + StyleBox["\"14\"", + GrayLevel[0.5], StripOnInput -> False], + Annotation[#, {"Nodes", "14"}, "Mouse"]& ], + MouseAppearanceTag["LinkHand"]], + TagBox[ + TagBox[ + 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