pyguide

• pyguide package
  • Submodules
  • pyguide.classifier module
    • GuideTreeClassifier
      • GuideTreeClassifier.apply()
      • GuideTreeClassifier.compute_guide_importance()
      • GuideTreeClassifier.cost_complexity_pruning_path()
      • GuideTreeClassifier.decision_path()
      • GuideTreeClassifier.feature_importances_
      • GuideTreeClassifier.fit()
      • GuideTreeClassifier.get_depth()
      • GuideTreeClassifier.get_n_leaves()
      • GuideTreeClassifier.guide_importances_
      • GuideTreeClassifier.interaction_importances_
      • GuideTreeClassifier.max_depth_
      • GuideTreeClassifier.n_leaves_
      • GuideTreeClassifier.predict()
      • GuideTreeClassifier.predict_proba()
      • GuideTreeClassifier.set_score_request()
      • GuideTreeClassifier.tree_
  • pyguide.interactions module
    • calc_interaction_p_value()
  • pyguide.node module
    • GuideNode
      • GuideNode.is_leaf_node()
  • pyguide.regressor module
    • GuideTreeRegressor
      • GuideTreeRegressor.apply()
      • GuideTreeRegressor.compute_guide_importance()
      • GuideTreeRegressor.cost_complexity_pruning_path()
      • GuideTreeRegressor.decision_path()
      • GuideTreeRegressor.feature_importances_
      • GuideTreeRegressor.fit()
      • GuideTreeRegressor.get_depth()
      • GuideTreeRegressor.get_n_leaves()
      • GuideTreeRegressor.guide_importances_
      • GuideTreeRegressor.interaction_importances_
      • GuideTreeRegressor.max_depth_
      • GuideTreeRegressor.n_leaves_
      • GuideTreeRegressor.predict()
      • GuideTreeRegressor.set_score_request()
      • GuideTreeRegressor.tree_
  • pyguide.selection module
    • select_split_variable()
  • pyguide.splitting module
    • find_best_split()
  • pyguide.stats module
    • calc_curvature_p_value()
    • calc_curvature_test()
  • pyguide.visualization module
    • MockTree
    • build_mock_tree()
    • plot_tree()
  • Module contents
    • GuideGradientBoostingClassifier
      • GuideGradientBoostingClassifier.decision_function()
      • GuideGradientBoostingClassifier.fit()
      • GuideGradientBoostingClassifier.predict()
      • GuideGradientBoostingClassifier.predict_proba()
      • GuideGradientBoostingClassifier.set_score_request()
    • GuideGradientBoostingRegressor
      • GuideGradientBoostingRegressor.fit()
      • GuideGradientBoostingRegressor.predict()
      • GuideGradientBoostingRegressor.set_score_request()
    • GuideRandomForestClassifier
      • GuideRandomForestClassifier.fit()
      • GuideRandomForestClassifier.predict()
      • GuideRandomForestClassifier.predict_proba()
      • GuideRandomForestClassifier.set_score_request()
    • GuideRandomForestRegressor
      • GuideRandomForestRegressor.fit()
      • GuideRandomForestRegressor.predict()
      • GuideRandomForestRegressor.set_score_request()
    • GuideTreeClassifier
      • GuideTreeClassifier.apply()
      • GuideTreeClassifier.compute_guide_importance()
      • GuideTreeClassifier.cost_complexity_pruning_path()
      • GuideTreeClassifier.decision_path()
      • GuideTreeClassifier.feature_importances_
      • GuideTreeClassifier.fit()
      • GuideTreeClassifier.get_depth()
      • GuideTreeClassifier.get_n_leaves()
      • GuideTreeClassifier.guide_importances_
      • GuideTreeClassifier.interaction_importances_
      • GuideTreeClassifier.max_depth_
      • GuideTreeClassifier.n_leaves_
      • GuideTreeClassifier.predict()
      • GuideTreeClassifier.predict_proba()
      • GuideTreeClassifier.set_score_request()
      • GuideTreeClassifier.tree_
    • GuideTreeRegressor
      • GuideTreeRegressor.apply()
      • GuideTreeRegressor.compute_guide_importance()
      • GuideTreeRegressor.cost_complexity_pruning_path()
      • GuideTreeRegressor.decision_path()
      • GuideTreeRegressor.feature_importances_
      • GuideTreeRegressor.fit()
      • GuideTreeRegressor.get_depth()
      • GuideTreeRegressor.get_n_leaves()
      • GuideTreeRegressor.guide_importances_
      • GuideTreeRegressor.interaction_importances_
      • GuideTreeRegressor.max_depth_
      • GuideTreeRegressor.n_leaves_
      • GuideTreeRegressor.predict()
      • GuideTreeRegressor.set_score_request()
      • GuideTreeRegressor.tree_
    • plot_tree()