ML-Python v2.3

What's new in 2.3

• Added AdamOptimizer in C

  •  from ml.optimizer import AdamOptimizer

• Improved stability

• Overall Bug Fixes

ml-python v2.2

What's new in 2.2

• Changed ml.linear_regression to run in C.
  • Time is 20% faster
• Fixed bug where ml.linear_regression.LinearRegression.fit would not accept higher amount of steps
• Improved stability
• Overall Bug Fixes

ml-python v2.1

What's new in 2.1

• Changed code for Gradient Descent Optimization to be in C with Python C API
  • Time is 24% faster compared to vanilla python
  • Check examples in ml/examples OR ml/ml/optimizer/optimizer_test.py
• Overall Bug Fixes

ml-python v2.0

What's new in 2.0

• Added support to optimize any function passed using gradient descent
• Changed ml.regression to use batches causing a massive performance boost
• Major bug fixes
• Improving overall stability

ml-python v1.16

ML-python v1.16

Implemented Algorithms

• 2D CNN
• Basic MLP
• K-Means
• Linear Regression
• Logistic Regression
• Graph Modules
• New Nonlinear Regression

What's new in 1.15 & 1.16

• Fixed issue where Markdown doesn't work in PyPI
• Bug Fixes

ml-python v1.14

ML-python v1.14

Implemented Algorithms

• 2D CNN
• Basic MLP
• K-Means
• Linear Regression
• Logistic Regression
• Graph Modules
• New Nonlinear Regression

What's new in 1.14

• Added Nonlinear Regression with tensorflow backend
• Major bug fixes
• Added examples and testing for nonlinear regression

ml-python v1.13

ML-python v1.13

Implemented Algorithms

• 2D CNN
• Basic MLP
• K-Means
• Linear Regression
• Logistic Regression
• Graph Modules

What's new in 1.13

• Fixed images in PyPi
• Added more documentation
• Added to GitHub Pages
• Bug fixes

ml-python v1.12

ML-python v1.12

Implemented Algorithms

• 2D CNN
• Basic MLP
• K-Means
• Linear Regression
• Logistic Regression
• Graph Modules

What's new in 1.12

• Fixed dataset creation for logistic regression in ml.random
• Added test files to ./tests for quick build tests
• Updated documentation
• Minor bug fixes

ml-python v1.11

ML-python v1.11

Implemented Algorithms

• 2D CNN
• Basic MLP
• K-Means
• Linear Regression
• Logistic Regression
• Graph Modules

What's new in 1.11

• Added to_print for ml.nn.NeuralNetwork.fit
• Adding .travis.yml for build testing
• Fixed files in /examples
• Minor bug fixes

ml-python v1.10

ML-python v1.10

Implemented Algorithms

• 2D CNN
• Basic MLP
• K-Means
• Linear Regression
• Logistic Regression
• Graph Modules

What's new in 1.10

• Added to_print for ml.logistic_regression
• Minor bug fixes