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Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

0.2.1

5 years ago

more careful feature selection to prevent some overfitting

0.2

5 years ago
  • implement proper sklearn estimator interface
  • FeatureSelector class for only feature selection part
  • allow NaNs in transform
  • better sympy compatibility
  • input validation & unit tests
  • use training & test data in the feature selection process to get more robust features
  • more expressive logs and verbose flag
  • ...