mlrl.boosting.cython package

Submodules

• mlrl.boosting.cython.head_type module
  • DynamicPartialHeadConfig
    • DynamicPartialHeadConfig.get_exponent()
    • DynamicPartialHeadConfig.get_threshold()
    • DynamicPartialHeadConfig.set_exponent()
    • DynamicPartialHeadConfig.set_threshold()
  • FixedPartialHeadConfig
    • FixedPartialHeadConfig.get_max_outputs()
    • FixedPartialHeadConfig.get_min_outputs()
    • FixedPartialHeadConfig.get_output_ratio()
    • FixedPartialHeadConfig.set_max_outputs()
    • FixedPartialHeadConfig.set_min_outputs()
    • FixedPartialHeadConfig.set_output_ratio()
• mlrl.boosting.cython.label_binning module
  • EqualWidthLabelBinningConfig
    • EqualWidthLabelBinningConfig.get_bin_ratio()
    • EqualWidthLabelBinningConfig.get_max_bins()
    • EqualWidthLabelBinningConfig.get_min_bins()
    • EqualWidthLabelBinningConfig.set_bin_ratio()
    • EqualWidthLabelBinningConfig.set_max_bins()
    • EqualWidthLabelBinningConfig.set_min_bins()
• mlrl.boosting.cython.learner module
  • AutomaticFeatureBinningMixin
    • AutomaticFeatureBinningMixin.use_automatic_feature_binning()
  • AutomaticHeadMixin
    • AutomaticHeadMixin.use_automatic_heads()
  • AutomaticParallelRuleRefinementMixin
    • AutomaticParallelRuleRefinementMixin.use_automatic_parallel_rule_refinement()
  • AutomaticParallelStatisticUpdateMixin
    • AutomaticParallelStatisticUpdateMixin.use_automatic_parallel_statistic_update()
  • CompleteHeadMixin
    • CompleteHeadMixin.use_complete_heads()
  • ConstantShrinkageMixin
    • ConstantShrinkageMixin.use_constant_shrinkage_post_processor()
  • DecomposableSquaredErrorLossMixin
    • DecomposableSquaredErrorLossMixin.use_decomposable_squared_error_loss()
  • DynamicPartialHeadMixin
    • DynamicPartialHeadMixin.use_dynamic_partial_heads()
  • FixedPartialHeadMixin
    • FixedPartialHeadMixin.use_fixed_partial_heads()
  • Float32StatisticsMixin
    • Float32StatisticsMixin.use_32_bit_statistics()
  • Float64StatisticsMixin
    • Float64StatisticsMixin.use_64_bit_statistics()
  • L1RegularizationMixin
    • L1RegularizationMixin.use_l1_regularization()
  • L2RegularizationMixin
    • L2RegularizationMixin.use_l2_regularization()
  • NoL1RegularizationMixin
    • NoL1RegularizationMixin.use_no_l1_regularization()
  • NoL2RegularizationMixin
    • NoL2RegularizationMixin.use_no_l2_regularization()
  • NonDecomposableSquaredErrorLossMixin
    • NonDecomposableSquaredErrorLossMixin.use_non_decomposable_squared_error_loss()
  • OutputWiseScorePredictorMixin
    • OutputWiseScorePredictorMixin.use_output_wise_score_predictor()
  • SingleOutputHeadMixin
    • SingleOutputHeadMixin.use_single_output_heads()
• mlrl.boosting.cython.learner_boomer module
  • BoomerClassifier
  • BoomerClassifierConfig
    • BoomerClassifierConfig.use_32_bit_statistics()
    • BoomerClassifierConfig.use_64_bit_statistics()
    • BoomerClassifierConfig.use_automatic_binary_predictor()
    • BoomerClassifierConfig.use_automatic_default_rule()
    • BoomerClassifierConfig.use_automatic_feature_binning()
    • BoomerClassifierConfig.use_automatic_heads()
    • BoomerClassifierConfig.use_automatic_label_binning()
    • BoomerClassifierConfig.use_automatic_parallel_rule_refinement()
    • BoomerClassifierConfig.use_automatic_parallel_statistic_update()
    • BoomerClassifierConfig.use_automatic_partition_sampling()
    • BoomerClassifierConfig.use_automatic_probability_predictor()
    • BoomerClassifierConfig.use_automatic_statistics()
    • BoomerClassifierConfig.use_beam_search_top_down_rule_induction()
    • BoomerClassifierConfig.use_complete_heads()
    • BoomerClassifierConfig.use_constant_shrinkage_post_processor()
    • BoomerClassifierConfig.use_decomposable_logistic_loss()
    • BoomerClassifierConfig.use_decomposable_squared_error_loss()
    • BoomerClassifierConfig.use_decomposable_squared_hinge_loss()
    • BoomerClassifierConfig.use_default_rule()
    • BoomerClassifierConfig.use_dense_statistics()
    • BoomerClassifierConfig.use_dynamic_partial_heads()
    • BoomerClassifierConfig.use_equal_frequency_feature_binning()
    • BoomerClassifierConfig.use_equal_width_feature_binning()
    • BoomerClassifierConfig.use_equal_width_label_binning()
    • BoomerClassifierConfig.use_example_wise_binary_predictor()
    • BoomerClassifierConfig.use_example_wise_stratified_bi_partition_sampling()
    • BoomerClassifierConfig.use_example_wise_stratified_instance_sampling()
    • BoomerClassifierConfig.use_feature_sampling_without_replacement()
    • BoomerClassifierConfig.use_fixed_partial_heads()
    • BoomerClassifierConfig.use_gfm_binary_predictor()
    • BoomerClassifierConfig.use_global_post_pruning()
    • BoomerClassifierConfig.use_global_pre_pruning()
    • BoomerClassifierConfig.use_greedy_top_down_rule_induction()
    • BoomerClassifierConfig.use_instance_sampling_with_replacement()
    • BoomerClassifierConfig.use_instance_sampling_without_replacement()
    • BoomerClassifierConfig.use_irep_rule_pruning()
    • BoomerClassifierConfig.use_isotonic_joint_probability_calibration()
    • BoomerClassifierConfig.use_isotonic_marginal_probability_calibration()
    • BoomerClassifierConfig.use_l1_regularization()
    • BoomerClassifierConfig.use_l2_regularization()
    • BoomerClassifierConfig.use_marginalized_probability_predictor()
    • BoomerClassifierConfig.use_no_default_rule()
    • BoomerClassifierConfig.use_no_feature_binning()
    • BoomerClassifierConfig.use_no_feature_sampling()
    • BoomerClassifierConfig.use_no_global_pruning()
    • BoomerClassifierConfig.use_no_instance_sampling()
    • BoomerClassifierConfig.use_no_joint_probability_calibration()
    • BoomerClassifierConfig.use_no_l1_regularization()
    • BoomerClassifierConfig.use_no_l2_regularization()
    • BoomerClassifierConfig.use_no_label_binning()
    • BoomerClassifierConfig.use_no_marginal_probability_calibration()
    • BoomerClassifierConfig.use_no_output_sampling()
    • BoomerClassifierConfig.use_no_parallel_prediction()
    • BoomerClassifierConfig.use_no_parallel_rule_refinement()
    • BoomerClassifierConfig.use_no_parallel_statistic_update()
    • BoomerClassifierConfig.use_no_partition_sampling()
    • BoomerClassifierConfig.use_no_post_processor()
    • BoomerClassifierConfig.use_no_rule_pruning()
    • BoomerClassifierConfig.use_no_sequential_post_optimization()
    • BoomerClassifierConfig.use_no_size_stopping_criterion()
    • BoomerClassifierConfig.use_no_time_stopping_criterion()
    • BoomerClassifierConfig.use_non_decomposable_logistic_loss()
    • BoomerClassifierConfig.use_non_decomposable_squared_error_loss()
    • BoomerClassifierConfig.use_non_decomposable_squared_hinge_loss()
    • BoomerClassifierConfig.use_output_sampling_without_replacement()
    • BoomerClassifierConfig.use_output_wise_binary_predictor()
    • BoomerClassifierConfig.use_output_wise_probability_predictor()
    • BoomerClassifierConfig.use_output_wise_score_predictor()
    • BoomerClassifierConfig.use_output_wise_stratified_bi_partition_sampling()
    • BoomerClassifierConfig.use_output_wise_stratified_instance_sampling()
    • BoomerClassifierConfig.use_parallel_prediction()
    • BoomerClassifierConfig.use_parallel_rule_refinement()
    • BoomerClassifierConfig.use_parallel_statistic_update()
    • BoomerClassifierConfig.use_random_bi_partition_sampling()
    • BoomerClassifierConfig.use_rng()
    • BoomerClassifierConfig.use_round_robin_output_sampling()
    • BoomerClassifierConfig.use_sequential_post_optimization()
    • BoomerClassifierConfig.use_sequential_rule_model_assemblage()
    • BoomerClassifierConfig.use_single_output_heads()
    • BoomerClassifierConfig.use_size_stopping_criterion()
    • BoomerClassifierConfig.use_sparse_statistics()
    • BoomerClassifierConfig.use_time_stopping_criterion()
  • BoomerRegressor
  • BoomerRegressorConfig
    • BoomerRegressorConfig.use_32_bit_statistics()
    • BoomerRegressorConfig.use_64_bit_statistics()
    • BoomerRegressorConfig.use_automatic_default_rule()
    • BoomerRegressorConfig.use_automatic_feature_binning()
    • BoomerRegressorConfig.use_automatic_heads()
    • BoomerRegressorConfig.use_automatic_parallel_rule_refinement()
    • BoomerRegressorConfig.use_automatic_parallel_statistic_update()
    • BoomerRegressorConfig.use_automatic_partition_sampling()
    • BoomerRegressorConfig.use_automatic_statistics()
    • BoomerRegressorConfig.use_beam_search_top_down_rule_induction()
    • BoomerRegressorConfig.use_complete_heads()
    • BoomerRegressorConfig.use_constant_shrinkage_post_processor()
    • BoomerRegressorConfig.use_decomposable_squared_error_loss()
    • BoomerRegressorConfig.use_default_rule()
    • BoomerRegressorConfig.use_dense_statistics()
    • BoomerRegressorConfig.use_dynamic_partial_heads()
    • BoomerRegressorConfig.use_equal_frequency_feature_binning()
    • BoomerRegressorConfig.use_equal_width_feature_binning()
    • BoomerRegressorConfig.use_feature_sampling_without_replacement()
    • BoomerRegressorConfig.use_fixed_partial_heads()
    • BoomerRegressorConfig.use_global_post_pruning()
    • BoomerRegressorConfig.use_global_pre_pruning()
    • BoomerRegressorConfig.use_greedy_top_down_rule_induction()
    • BoomerRegressorConfig.use_instance_sampling_with_replacement()
    • BoomerRegressorConfig.use_instance_sampling_without_replacement()
    • BoomerRegressorConfig.use_irep_rule_pruning()
    • BoomerRegressorConfig.use_l1_regularization()
    • BoomerRegressorConfig.use_l2_regularization()
    • BoomerRegressorConfig.use_no_default_rule()
    • BoomerRegressorConfig.use_no_feature_binning()
    • BoomerRegressorConfig.use_no_feature_sampling()
    • BoomerRegressorConfig.use_no_global_pruning()
    • BoomerRegressorConfig.use_no_instance_sampling()
    • BoomerRegressorConfig.use_no_l1_regularization()
    • BoomerRegressorConfig.use_no_l2_regularization()
    • BoomerRegressorConfig.use_no_output_sampling()
    • BoomerRegressorConfig.use_no_parallel_prediction()
    • BoomerRegressorConfig.use_no_parallel_rule_refinement()
    • BoomerRegressorConfig.use_no_parallel_statistic_update()
    • BoomerRegressorConfig.use_no_partition_sampling()
    • BoomerRegressorConfig.use_no_post_processor()
    • BoomerRegressorConfig.use_no_rule_pruning()
    • BoomerRegressorConfig.use_no_sequential_post_optimization()
    • BoomerRegressorConfig.use_no_size_stopping_criterion()
    • BoomerRegressorConfig.use_no_time_stopping_criterion()
    • BoomerRegressorConfig.use_non_decomposable_squared_error_loss()
    • BoomerRegressorConfig.use_output_sampling_without_replacement()
    • BoomerRegressorConfig.use_output_wise_score_predictor()
    • BoomerRegressorConfig.use_parallel_prediction()
    • BoomerRegressorConfig.use_parallel_rule_refinement()
    • BoomerRegressorConfig.use_parallel_statistic_update()
    • BoomerRegressorConfig.use_random_bi_partition_sampling()
    • BoomerRegressorConfig.use_round_robin_output_sampling()
    • BoomerRegressorConfig.use_sequential_post_optimization()
    • BoomerRegressorConfig.use_sequential_rule_model_assemblage()
    • BoomerRegressorConfig.use_single_output_heads()
    • BoomerRegressorConfig.use_size_stopping_criterion()
    • BoomerRegressorConfig.use_sparse_statistics()
    • BoomerRegressorConfig.use_time_stopping_criterion()
• mlrl.boosting.cython.learner_classification module
  • AutomaticBinaryPredictorMixin
    • AutomaticBinaryPredictorMixin.use_automatic_binary_predictor()
  • AutomaticDefaultRuleMixin
    • AutomaticDefaultRuleMixin.use_automatic_default_rule()
  • AutomaticLabelBinningMixin
    • AutomaticLabelBinningMixin.use_automatic_label_binning()
  • AutomaticPartitionSamplingMixin
    • AutomaticPartitionSamplingMixin.use_automatic_partition_sampling()
  • AutomaticProbabilityPredictorMixin
    • AutomaticProbabilityPredictorMixin.use_automatic_probability_predictor()
  • AutomaticStatisticsMixin
    • AutomaticStatisticsMixin.use_automatic_statistics()
  • DecomposableLogisticLossMixin
    • DecomposableLogisticLossMixin.use_decomposable_logistic_loss()
  • DecomposableSquaredHingeLossMixin
    • DecomposableSquaredHingeLossMixin.use_decomposable_squared_hinge_loss()
  • DenseStatisticsMixin
    • DenseStatisticsMixin.use_dense_statistics()
  • EqualWidthLabelBinningMixin
    • EqualWidthLabelBinningMixin.use_equal_width_label_binning()
  • ExampleWiseBinaryPredictorMixin
    • ExampleWiseBinaryPredictorMixin.use_example_wise_binary_predictor()
  • GfmBinaryPredictorMixin
    • GfmBinaryPredictorMixin.use_gfm_binary_predictor()
  • IsotonicJointProbabilityCalibrationMixin
    • IsotonicJointProbabilityCalibrationMixin.use_isotonic_joint_probability_calibration()
  • IsotonicMarginalProbabilityCalibrationMixin
    • IsotonicMarginalProbabilityCalibrationMixin.use_isotonic_marginal_probability_calibration()
  • MarginalizedProbabilityPredictorMixin
    • MarginalizedProbabilityPredictorMixin.use_marginalized_probability_predictor()
  • NoDefaultRuleMixin
    • NoDefaultRuleMixin.use_no_default_rule()
  • NoLabelBinningMixin
    • NoLabelBinningMixin.use_no_label_binning()
  • NonDecomposableLogisticLossMixin
    • NonDecomposableLogisticLossMixin.use_non_decomposable_logistic_loss()
  • NonDecomposableSquaredHingeLossMixin
    • NonDecomposableSquaredHingeLossMixin.use_non_decomposable_squared_hinge_loss()
  • OutputWiseBinaryPredictorMixin
    • OutputWiseBinaryPredictorMixin.use_output_wise_binary_predictor()
  • OutputWiseProbabilityPredictorMixin
    • OutputWiseProbabilityPredictorMixin.use_output_wise_probability_predictor()
  • SparseStatisticsMixin
    • SparseStatisticsMixin.use_sparse_statistics()
• mlrl.boosting.cython.package_info module
  • get_cpp_library_info()
• mlrl.boosting.cython.post_processor module
  • ConstantShrinkageConfig
    • ConstantShrinkageConfig.get_shrinkage()
    • ConstantShrinkageConfig.set_shrinkage()
• mlrl.boosting.cython.prediction module
  • ExampleWiseBinaryPredictorConfig
    • ExampleWiseBinaryPredictorConfig.is_based_on_probabilities()
    • ExampleWiseBinaryPredictorConfig.is_probability_calibration_model_used()
    • ExampleWiseBinaryPredictorConfig.set_based_on_probabilities()
    • ExampleWiseBinaryPredictorConfig.set_use_probability_calibration_model()
  • GfmBinaryPredictorConfig
    • GfmBinaryPredictorConfig.is_probability_calibration_model_used()
    • GfmBinaryPredictorConfig.set_use_probability_calibration_model()
  • MarginalizedProbabilityPredictorConfig
    • MarginalizedProbabilityPredictorConfig.is_probability_calibration_model_used()
    • MarginalizedProbabilityPredictorConfig.set_use_probability_calibration_model()
  • OutputWiseBinaryPredictorConfig
    • OutputWiseBinaryPredictorConfig.is_based_on_probabilities()
    • OutputWiseBinaryPredictorConfig.is_probability_calibration_model_used()
    • OutputWiseBinaryPredictorConfig.set_based_on_probabilities()
    • OutputWiseBinaryPredictorConfig.set_use_probability_calibration_model()
  • OutputWiseProbabilityPredictorConfig
    • OutputWiseProbabilityPredictorConfig.is_probability_calibration_model_used()
    • OutputWiseProbabilityPredictorConfig.set_use_probability_calibration_model()
• mlrl.boosting.cython.probability_calibration module
  • IsotonicJointProbabilityCalibratorConfig
    • IsotonicJointProbabilityCalibratorConfig.is_holdout_set_used()
    • IsotonicJointProbabilityCalibratorConfig.set_use_holdout_set()
  • IsotonicMarginalProbabilityCalibratorConfig
    • IsotonicMarginalProbabilityCalibratorConfig.is_holdout_set_used()
    • IsotonicMarginalProbabilityCalibratorConfig.set_use_holdout_set()
• mlrl.boosting.cython.regularization module
  • ManualRegularizationConfig
    • ManualRegularizationConfig.get_regularization_weight()
    • ManualRegularizationConfig.set_regularization_weight()