cyclic_boosting

• cyclic_boosting package
  • Subpackages
    • cyclic_boosting.binning package
      • Submodules
      • cyclic_boosting.binning.bin_number_transformer module
      • cyclic_boosting.binning.ecdf_transformer module
      • Module contents
    • cyclic_boosting.plots package
      • Submodules
      • cyclic_boosting.plots.plot_utils module
      • Module contents
    • cyclic_boosting.smoothing package
      • Submodules
      • cyclic_boosting.smoothing.base module
      • cyclic_boosting.smoothing.extrapolate module
      • cyclic_boosting.smoothing.meta_smoother module
      • cyclic_boosting.smoothing.multidim module
      • cyclic_boosting.smoothing.onedim module
      • cyclic_boosting.smoothing.orthofit module
      • Module contents
  • Submodules
  • cyclic_boosting.GBSregression module
    • CBGBSRegressor
      • CBGBSRegressor.calc_parameters()
      • CBGBSRegressor.loss()
      • CBGBSRegressor.precalc_parameters()
      • CBGBSRegressor.set_score_request()
  • cyclic_boosting.base module
    • CyclicBoostingBase
      • CyclicBoostingBase.global_scale_link_
      • CyclicBoostingBase.stop_criteria_
      • CyclicBoostingBase.calc_parameters()
      • CyclicBoostingBase.calibrate_to_weighted_mean()
      • CyclicBoostingBase.cb_features()
      • CyclicBoostingBase.feature_iteration()
      • CyclicBoostingBase.fit()
      • CyclicBoostingBase.fit_transform()
      • CyclicBoostingBase.get_feature_contributions()
      • CyclicBoostingBase.get_feature_importances()
      • CyclicBoostingBase.get_state()
      • CyclicBoostingBase.get_subestimators_as_items()
      • CyclicBoostingBase.global_scale_
      • CyclicBoostingBase.inc_fitting
      • CyclicBoostingBase.is_diverged()
      • CyclicBoostingBase.learning_rate()
      • CyclicBoostingBase.loss()
      • CyclicBoostingBase.no_deepcopy
      • CyclicBoostingBase.precalc_parameters()
      • CyclicBoostingBase.predict()
      • CyclicBoostingBase.predict_extended()
      • CyclicBoostingBase.prepare_plots()
      • CyclicBoostingBase.remove_preds()
      • CyclicBoostingBase.required_columns()
      • CyclicBoostingBase.set_feature_importances()
      • CyclicBoostingBase.supports_pandas
      • CyclicBoostingBase.transform()
      • CyclicBoostingBase.visit_factors()
    • calc_factors_generic()
    • gaussian_matching_by_quantiles()
  • cyclic_boosting.classification module
    • CBClassifier
      • CBClassifier.calc_parameters()
      • CBClassifier.precalc_parameters()
      • CBClassifier.predict()
      • CBClassifier.predict_proba()
      • CBClassifier.set_score_request()
    • boost_weights()
    • get_beta_priors()
  • cyclic_boosting.common_smoothers module
    • SmootherChoice
      • SmootherChoice.choice_fct()
      • SmootherChoice.get_onedim_smoother()
      • SmootherChoice.get_raw_smoother()
      • SmootherChoice.neutral_factor_link
      • SmootherChoice.wrap_smoother()
    • SmootherChoiceGroupBy
      • SmootherChoiceGroupBy.get_raw_smoother()
      • SmootherChoiceGroupBy.wrap_smoother()
    • SmootherChoiceWeightedMean
      • SmootherChoiceWeightedMean.get_raw_smoother()
  • cyclic_boosting.features module
    • Feature
      • Feature.bin_centers
      • Feature.bind_data()
      • Feature.clear_feature_reference()
      • Feature.dim
      • Feature.factor_link_nan_bin
      • Feature.finite_bin_weightsums
      • Feature.is_1dim
      • Feature.missing_not_learned
      • Feature.n_bins
      • Feature.n_bins_finite
      • Feature.nan_bin_weightsum
      • Feature.prepare_feature()
      • Feature.set_feature_bin_deviations_from_neutral()
      • Feature.unbind_data()
      • Feature.unbind_factor_data()
      • Feature.unfitted_factor_link_nan_bin
      • Feature.update_factors()
    • FeatureID
      • FeatureID.feature_group
      • FeatureID.feature_type
    • FeatureList
      • FeatureList.feature_groups
      • FeatureList.feature_ids
      • FeatureList.get_feature()
      • FeatureList.iter_fitting()
    • FeatureTypes
      • FeatureTypes.external
      • FeatureTypes.standard
    • create_feature_id()
    • create_features()
  • cyclic_boosting.flags module
    • check_flags_consistency()
    • decreasing_set()
    • flags_to_string()
    • has_magic_missing_set()
    • has_missing_set()
    • increasing_set()
    • is_continuous_set()
    • is_monotonic_set()
    • is_ordered_set()
    • is_unordered_set()
    • missing_not_learned_set()
    • read_feature_property()
  • cyclic_boosting.learning_rate module
    • constant_learn_rate_one()
    • half_linear_learn_rate()
    • linear_learn_rate()
    • logistic_learn_rate()
  • cyclic_boosting.link module
    • IdentityLinkMixin
      • IdentityLinkMixin.is_in_range()
      • IdentityLinkMixin.link_func()
      • IdentityLinkMixin.unlink_func()
    • LinkFunction
      • LinkFunction.is_in_range()
      • LinkFunction.link_func()
      • LinkFunction.unlink_func()
    • LogLinkMixin
      • LogLinkMixin.is_in_range()
      • LogLinkMixin.link_func()
      • LogLinkMixin.unlink_func()
    • LogitLinkMixin
      • LogitLinkMixin.is_in_range()
      • LogitLinkMixin.link_func()
      • LogitLinkMixin.unlink_func()
  • cyclic_boosting.location module
    • CBLocPoissonRegressor
      • CBLocPoissonRegressor.calc_parameters()
      • CBLocPoissonRegressor.precalc_parameters()
      • CBLocPoissonRegressor.predict()
      • CBLocPoissonRegressor.set_score_request()
    • CBLocationRegressor
      • CBLocationRegressor.calc_parameters()
      • CBLocationRegressor.calibrate_to_weighted_mean()
      • CBLocationRegressor.precalc_parameters()
      • CBLocationRegressor.set_score_request()
  • cyclic_boosting.nbinom module
    • CBNBinomC
      • CBNBinomC.calc_parameters()
      • CBNBinomC.fit()
      • CBNBinomC.loss()
      • CBNBinomC.precalc_parameters()
      • CBNBinomC.set_score_request()
    • bayes_result()
    • binned_loss_nbinom_c()
    • calc_parameters_nbinom_c()
    • compute_2d_loss()
    • get_new_c_link_for_iteration()
    • loss_nbinom_c()
    • nbinom_log_pmf()
  • cyclic_boosting.observers module
    • BaseObserver
      • BaseObserver.observe_feature_iterations()
      • BaseObserver.observe_iterations()
    • PlottingObserver
      • PlottingObserver.check_fitted()
      • PlottingObserver.observe_feature_iterations()
      • PlottingObserver.observe_iterations()
    • calc_in_sample_histograms()
  • cyclic_boosting.pipelines module
    • pipeline_CB()
    • pipeline_CBAdditiveGenericCRegressor()
    • pipeline_CBAdditiveQuantileRegressor()
    • pipeline_CBClassifier()
    • pipeline_CBExponential()
    • pipeline_CBGBSRegressor()
    • pipeline_CBGenericClassifier()
    • pipeline_CBLocPoissonRegressor()
    • pipeline_CBLocationRegressor()
    • pipeline_CBMultiplicativeGenericCRegressor()
    • pipeline_CBMultiplicativeQuantileRegressor()
    • pipeline_CBNBinomC()
    • pipeline_CBNBinomRegressor()
    • pipeline_CBPoissonRegressor()
  • cyclic_boosting.price module
    • CBExponential
      • CBExponential.calc_parameters()
      • CBExponential.fit()
      • CBExponential.predict()
      • CBExponential.predict_extended()
      • CBExponential.required_columns()
      • CBExponential.set_score_request()
    • CBLinkPredictions
      • CBLinkPredictions.base()
      • CBLinkPredictions.exponents()
      • CBLinkPredictions.factors()
      • CBLinkPredictions.predict_link()
      • CBLinkPredictions.prior_exponents()
    • combine_lists_of_feature_groups()
    • gamma_momemt_matching()
    • newton_bisect()
    • newton_step()
  • cyclic_boosting.regression module
    • CBNBinomRegressor
      • CBNBinomRegressor.calc_parameters()
      • CBNBinomRegressor.precalc_parameters()
      • CBNBinomRegressor.set_score_request()
    • CBPoissonRegressor
      • CBPoissonRegressor.calc_parameters()
      • CBPoissonRegressor.precalc_parameters()
      • CBPoissonRegressor.set_score_request()
    • get_gamma_priors()
  • cyclic_boosting.utils module
    • ConvergenceError
    • ConvergenceParameters
      • ConvergenceParameters.delta
      • ConvergenceParameters.loss_change
      • ConvergenceParameters.set_delta()
      • ConvergenceParameters.set_loss_change()
    • arange_multi()
    • bin_steps()
    • calc_linear_bins()
    • calc_means_medians()
    • calc_weighted_quantile()
    • clone()
    • continuous_quantile_from_discrete_pdf()
    • digitize()
    • generator_to_decorator()
    • get_X_column()
    • get_bin_bounds()
    • get_feature_column_names()
    • get_normalized_values()
    • linear_regression()
    • multidim_binnos_to_lexicographic_binnos()
    • nans()
    • neutralize_one_dim_influence()
    • not_seen_events()
    • regularize_to_error_weighted_mean()
    • regularize_to_error_weighted_mean_neighbors()
    • regularize_to_prior_expectation()
    • slice_finite_semi_positive()
    • smear_discrete_cdftruth()
    • smear_discrete_cdftruth_qpd()
    • weighted_stddev()
  • Module contents
    • CBAdditiveGenericCRegressor
      • CBAdditiveGenericCRegressor.costs()
      • CBAdditiveGenericCRegressor.loss()
      • CBAdditiveGenericCRegressor.model()
      • CBAdditiveGenericCRegressor.set_score_request()
      • CBAdditiveGenericCRegressor.uncertainty()
    • CBAdditiveQuantileRegressor
      • CBAdditiveQuantileRegressor.model()
      • CBAdditiveQuantileRegressor.set_score_request()
      • CBAdditiveQuantileRegressor.uncertainty()
    • CBClassifier
      • CBClassifier.calc_parameters()
      • CBClassifier.precalc_parameters()
      • CBClassifier.predict()
      • CBClassifier.predict_proba()
      • CBClassifier.set_score_request()
    • CBExponential
      • CBExponential.calc_parameters()
      • CBExponential.fit()
      • CBExponential.predict()
      • CBExponential.predict_extended()
      • CBExponential.required_columns()
      • CBExponential.set_score_request()
    • CBGBSRegressor
      • CBGBSRegressor.calc_parameters()
      • CBGBSRegressor.loss()
      • CBGBSRegressor.precalc_parameters()
      • CBGBSRegressor.set_score_request()
    • CBGenericClassifier
      • CBGenericClassifier.costs()
      • CBGenericClassifier.loss()
      • CBGenericClassifier.model()
      • CBGenericClassifier.set_score_request()
      • CBGenericClassifier.uncertainty()
    • CBLocPoissonRegressor
      • CBLocPoissonRegressor.calc_parameters()
      • CBLocPoissonRegressor.precalc_parameters()
      • CBLocPoissonRegressor.predict()
      • CBLocPoissonRegressor.set_score_request()
    • CBLocationRegressor
      • CBLocationRegressor.calc_parameters()
      • CBLocationRegressor.calibrate_to_weighted_mean()
      • CBLocationRegressor.precalc_parameters()
      • CBLocationRegressor.set_score_request()
    • CBMultiplicativeGenericCRegressor
      • CBMultiplicativeGenericCRegressor.costs()
      • CBMultiplicativeGenericCRegressor.loss()
      • CBMultiplicativeGenericCRegressor.model()
      • CBMultiplicativeGenericCRegressor.set_score_request()
      • CBMultiplicativeGenericCRegressor.uncertainty()
    • CBMultiplicativeQuantileRegressor
      • CBMultiplicativeQuantileRegressor.model()
      • CBMultiplicativeQuantileRegressor.set_score_request()
      • CBMultiplicativeQuantileRegressor.uncertainty()
    • CBNBinomC
      • CBNBinomC.calc_parameters()
      • CBNBinomC.fit()
      • CBNBinomC.loss()
      • CBNBinomC.precalc_parameters()
      • CBNBinomC.set_score_request()
    • CBNBinomRegressor
      • CBNBinomRegressor.calc_parameters()
      • CBNBinomRegressor.precalc_parameters()
      • CBNBinomRegressor.set_score_request()
    • CBPoissonRegressor
      • CBPoissonRegressor.calc_parameters()
      • CBPoissonRegressor.precalc_parameters()
      • CBPoissonRegressor.set_score_request()
    • CyclicBoostingBase
      • CyclicBoostingBase.global_scale_link_
      • CyclicBoostingBase.stop_criteria_
      • CyclicBoostingBase.calc_parameters()
      • CyclicBoostingBase.calibrate_to_weighted_mean()
      • CyclicBoostingBase.cb_features()
      • CyclicBoostingBase.feature_iteration()
      • CyclicBoostingBase.fit()
      • CyclicBoostingBase.fit_transform()
      • CyclicBoostingBase.get_feature_contributions()
      • CyclicBoostingBase.get_feature_importances()
      • CyclicBoostingBase.get_state()
      • CyclicBoostingBase.get_subestimators_as_items()
      • CyclicBoostingBase.global_scale_
      • CyclicBoostingBase.inc_fitting
      • CyclicBoostingBase.is_diverged()
      • CyclicBoostingBase.learning_rate()
      • CyclicBoostingBase.loss()
      • CyclicBoostingBase.no_deepcopy
      • CyclicBoostingBase.precalc_parameters()
      • CyclicBoostingBase.predict()
      • CyclicBoostingBase.predict_extended()
      • CyclicBoostingBase.prepare_plots()
      • CyclicBoostingBase.remove_preds()
      • CyclicBoostingBase.required_columns()
      • CyclicBoostingBase.set_feature_importances()
      • CyclicBoostingBase.supports_pandas
      • CyclicBoostingBase.transform()
      • CyclicBoostingBase.visit_factors()
    • pipeline_CBAdditiveGenericCRegressor()
    • pipeline_CBAdditiveQuantileRegressor()
    • pipeline_CBClassifier()
    • pipeline_CBExponential()
    • pipeline_CBGBSRegressor()
    • pipeline_CBGenericClassifier()
    • pipeline_CBLocPoissonRegressor()
    • pipeline_CBLocationRegressor()
    • pipeline_CBMultiplicativeGenericCRegressor()
    • pipeline_CBMultiplicativeQuantileRegressor()
    • pipeline_CBNBinomC()
    • pipeline_CBNBinomRegressor()
    • pipeline_CBPoissonRegressor()