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Introducing Additional Variables into the GBM Model #15
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Can you publish your script and your data structure. |
gbm_obj <- gbm_baseline(train_path = "C:\Users\byamasaki\OneDrive - TRC\Documents\A Fans NMEC\Pre\Ceiling Fan\OSA Temp + Occ\Pre_CF_OSA_Occ.csv",
pred_path = "C:\Users\byamasaki\OneDrive - TRC\Documents\A Fans NMEC\Post\Ceiling Fan\OSA Temp + Occ\Post_CF_OSA_Occ.csv",
variables = c("Temp","tow","Occ")
)
When I plug in the above into Console, nothing happens. I do this after RMV2.0 GUI has been launched. I was wondering if there was a different time that I need to input this in or if there was a different format I have to set the data in. Please see the attached post dataset.
Thanks,
Brandon Yamasaki
Project Engineer
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Subject: [EXTERNAL] Re: [LBNL-ETA/RMV2.0] Introducing Additional Variables into the GBM Model (#15)
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Can you publish your script and your data structure.
c() is the way you define a vector in R. If you have Temp and RH as parameters you want to do the following:
variables = c("Temp","tow","RH")
pred_path is the variable defining the prediction file path it is not a function
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Hi Brandon, library(RMV2.0) Also you can just use the GUI to train the model. By default GBM model will include any additional input parameter (i.e., additional column in your data). If in your data you have "time","eload","Temp","Occ" as columns you are good to go!! I hope this will resolve your problem. |
I'm having an issue conducting multivariable GBM analysis. I tried to return a gbm_baseline object using my project's file location and variables (ie. "Temp" & "RH") as demonstrated on the User Guide. However, this doesn't do anything. I tried typing out the block and noticed that pred_path and c() aren't callable functions. I was wondering if there was a package I need to install or if there was another method to conduct multivariable GBM analysis. A working demonstration would be very helpful. Thanks.
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