cc_tk package

Subpackages

• cc_tk.feature package
  • Submodules
  • cc_tk.feature.correlation module
    • ClusteringCorrelation
      • ClusteringCorrelation.fit()
      • ClusteringCorrelation.get_clusters()
      • ClusteringCorrelation.plot_correlation_matrix()
      • ClusteringCorrelation.plot_dendro()
      • ClusteringCorrelation.set_fit_request()
      • ClusteringCorrelation.set_transform_request()
      • ClusteringCorrelation.transform()
    • CorrelationToTarget
      • CorrelationToTarget.fit()
      • CorrelationToTarget.plot_correlation()
      • CorrelationToTarget.set_fit_request()
      • CorrelationToTarget.set_transform_request()
      • CorrelationToTarget.transform()
    • PairwiseCorrelationDrop
      • PairwiseCorrelationDrop.compute_drop_indices_from_detailed_steps()
      • PairwiseCorrelationDrop.compute_mask_selection()
      • PairwiseCorrelationDrop.fit()
      • PairwiseCorrelationDrop.set_fit_request()
      • PairwiseCorrelationDrop.set_transform_request()
      • PairwiseCorrelationDrop.transform()
  • Module contents
• cc_tk.plot package
  • Submodules
  • cc_tk.plot.classification module
    • plot_confusion()
  • Module contents
• cc_tk.relationship package
  • Submodules
  • cc_tk.relationship.distribution module
    • categorical_distribution()
    • numeric_distribution()
    • summary_distribution_by_target()
  • cc_tk.relationship.schema module
    • SeriesType
      • SeriesType.CATEGORICAL
      • SeriesType.NUMERIC
    • all_columns_categorical()
    • all_columns_numeric()
    • check_input_index()
    • check_input_types()
    • check_series_in_signature()
  • cc_tk.relationship.significance module
    • get_significance()
  • cc_tk.relationship.summary module
    • get_significance()
  • cc_tk.relationship.utils module
    • cut_influence()
    • influence_from_correlation()
  • Module contents
• cc_tk.util package
  • Submodules
  • cc_tk.util.types module
  • Module contents

Module contents

Toolkit for Data Science.