Welcome to SKU’s documentation!

SKU is a Python library that adds to the Scikit-Learn Pipeline and provides functions that are helpful for me, and maybe someone else!

Check out the Usage section for further information, including how to Install the project.

Note

This project is under active development.

Documentation Links:

Main Documentation

• Documentation
  • Wrapping Utilities
    • FlattenWrapper
      • FlattenWrapper.__init__()
      • FlattenWrapper.estimator
      • FlattenWrapper.fit()
      • FlattenWrapper.fit_transform()
      • FlattenWrapper.get_params()
      • FlattenWrapper.set_params()
  • Model Wrapper
    • SKModelWrapperDD
      • SKModelWrapperDD.__init__()
      • SKModelWrapperDD.fit()
      • SKModelWrapperDD.get_params()
      • SKModelWrapperDD.model
      • SKModelWrapperDD.predict()
      • SKModelWrapperDD.predict_proba()
      • SKModelWrapperDD.set_params()
  • Transformer Wrapper
    • SKTransformerWrapperDD
      • SKTransformerWrapperDD.__init__()
      • SKTransformerWrapperDD.fit()
      • SKTransformerWrapperDD.fit_transform()
      • SKTransformerWrapperDD.get_params()
      • SKTransformerWrapperDD.set_params()
      • SKTransformerWrapperDD.transform()
      • SKTransformerWrapperDD.transformer
  • Transformer
    • DropNaNRowsDD
      • DropNaNRowsDD.__init__()
    • NumpyToDict
      • NumpyToDict.__init__()
      • NumpyToDict.fit()
      • NumpyToDict.transform()
    • StandardGroupScalerDD
      • StandardGroupScalerDD.__init__()
  • Model Selection
    • DataPreSplit
      • DataPreSplit.__init__()
      • DataPreSplit.get_n_splits()
      • DataPreSplit.reformat_X()
      • DataPreSplit.split()
    • RepeatedStratifiedGroupKFold
      • RepeatedStratifiedGroupKFold.__init__()
    • train_test_group_split()
  • Pipeline
    • Pipeline
      • Pipeline.predict()
      • Pipeline.predict_log_proba()
      • Pipeline.predict_proba()
      • Pipeline.steps
      • Pipeline.transform()
    • PipelineDD
      • PipelineDD.fit()
      • PipelineDD.predict()
      • PipelineDD.score()
      • PipelineDD.steps
      • PipelineDD.transform()
    • pipeline_constructor()
  • Pipeline Searching
    • PipelineBasicSearchCV
      • PipelineBasicSearchCV.__init__()
      • PipelineBasicSearchCV.best_params_
      • PipelineBasicSearchCV.fit()
    • PipelineBayesSearchCV
      • PipelineBayesSearchCV.__init__()
    • PipelineSearchCV
      • PipelineSearchCV.__init__()
  • Metrics
    • positive_split()
  • Pre-Processing
    • Flatten
      • Flatten.__init__()
      • Flatten.fit()
      • Flatten.transform()
    • FlattenStandardScaler
    • StandardGroupScaler
      • StandardGroupScaler.__init__()
      • StandardGroupScaler.fit()
      • StandardGroupScaler.fit_transform()
      • StandardGroupScaler.transform()
  • Progress Utils
  • Utils
    • get_default_args()
    • hasarg()
    • partialclass()
    • partialclass_pickleable()