mlrl.boosting.cython package¶
Submodules¶
- mlrl.boosting.cython.head_type module
- mlrl.boosting.cython.info module
- mlrl.boosting.cython.label_binning module
- mlrl.boosting.cython.learner module
AutomaticBinaryPredictorMixinAutomaticDefaultRuleMixinAutomaticFeatureBinningMixinAutomaticHeadMixinAutomaticLabelBinningMixinAutomaticParallelRuleRefinementMixinAutomaticParallelStatisticUpdateMixinAutomaticPartitionSamplingMixinAutomaticProbabilityPredictorMixinAutomaticStatisticsMixinCompleteHeadMixinConstantShrinkageMixinDenseStatisticsMixinDynamicPartialHeadMixinEqualWidthLabelBinningMixinExampleWiseBinaryPredictorMixinExampleWiseLogisticLossMixinExampleWiseSquaredErrorLossMixinExampleWiseSquaredHingeLossMixinFixedPartialHeadMixinGfmBinaryPredictorMixinIsotonicJointProbabilityCalibrationMixinIsotonicMarginalProbabilityCalibrationMixinL1RegularizationMixinL2RegularizationMixinLabelWiseBinaryPredictorMixinLabelWiseLogisticLossMixinLabelWiseProbabilityPredictorMixinLabelWiseScorePredictorMixinLabelWiseSquaredErrorLossMixinLabelWiseSquaredHingeLossMixinMarginalizedProbabilityPredictorMixinNoDefaultRuleMixinNoL1RegularizationMixinNoL2RegularizationMixinNoLabelBinningMixinSingleLabelHeadMixinSparseStatisticsMixin
- mlrl.boosting.cython.learner_boomer module
BoomerBoomerConfigBoomerConfig.use_automatic_binary_predictor()BoomerConfig.use_automatic_default_rule()BoomerConfig.use_automatic_feature_binning()BoomerConfig.use_automatic_heads()BoomerConfig.use_automatic_label_binning()BoomerConfig.use_automatic_parallel_rule_refinement()BoomerConfig.use_automatic_parallel_statistic_update()BoomerConfig.use_automatic_partition_sampling()BoomerConfig.use_automatic_probability_predictor()BoomerConfig.use_automatic_statistics()BoomerConfig.use_beam_search_top_down_rule_induction()BoomerConfig.use_complete_heads()BoomerConfig.use_constant_shrinkage_post_processor()BoomerConfig.use_default_rule()BoomerConfig.use_dense_statistics()BoomerConfig.use_dynamic_partial_heads()BoomerConfig.use_equal_frequency_feature_binning()BoomerConfig.use_equal_width_feature_binning()BoomerConfig.use_equal_width_label_binning()BoomerConfig.use_example_wise_binary_predictor()BoomerConfig.use_example_wise_logistic_loss()BoomerConfig.use_example_wise_squared_error_loss()BoomerConfig.use_example_wise_squared_hinge_loss()BoomerConfig.use_example_wise_stratified_bi_partition_sampling()BoomerConfig.use_example_wise_stratified_instance_sampling()BoomerConfig.use_feature_sampling_without_replacement()BoomerConfig.use_fixed_partial_heads()BoomerConfig.use_gfm_binary_predictor()BoomerConfig.use_global_post_pruning()BoomerConfig.use_global_pre_pruning()BoomerConfig.use_greedy_top_down_rule_induction()BoomerConfig.use_instance_sampling_with_replacement()BoomerConfig.use_instance_sampling_without_replacement()BoomerConfig.use_irep_rule_pruning()BoomerConfig.use_isotonic_joint_probability_calibration()BoomerConfig.use_isotonic_marginal_probability_calibration()BoomerConfig.use_l1_regularization()BoomerConfig.use_l2_regularization()BoomerConfig.use_label_sampling_without_replacement()BoomerConfig.use_label_wise_binary_predictor()BoomerConfig.use_label_wise_logistic_loss()BoomerConfig.use_label_wise_probability_predictor()BoomerConfig.use_label_wise_score_predictor()BoomerConfig.use_label_wise_squared_error_loss()BoomerConfig.use_label_wise_squared_hinge_loss()BoomerConfig.use_label_wise_stratified_bi_partition_sampling()BoomerConfig.use_label_wise_stratified_instance_sampling()BoomerConfig.use_marginalized_probability_predictor()BoomerConfig.use_no_default_rule()BoomerConfig.use_no_feature_binning()BoomerConfig.use_no_feature_sampling()BoomerConfig.use_no_global_pruning()BoomerConfig.use_no_instance_sampling()BoomerConfig.use_no_joint_probability_calibration()BoomerConfig.use_no_l1_regularization()BoomerConfig.use_no_l2_regularization()BoomerConfig.use_no_label_binning()BoomerConfig.use_no_label_sampling()BoomerConfig.use_no_marginal_probability_calibration()BoomerConfig.use_no_parallel_prediction()BoomerConfig.use_no_parallel_rule_refinement()BoomerConfig.use_no_parallel_statistic_update()BoomerConfig.use_no_partition_sampling()BoomerConfig.use_no_post_processor()BoomerConfig.use_no_rule_pruning()BoomerConfig.use_no_sequential_post_optimization()BoomerConfig.use_no_size_stopping_criterion()BoomerConfig.use_no_time_stopping_criterion()BoomerConfig.use_parallel_prediction()BoomerConfig.use_parallel_rule_refinement()BoomerConfig.use_parallel_statistic_update()BoomerConfig.use_random_bi_partition_sampling()BoomerConfig.use_round_robin_label_sampling()BoomerConfig.use_sequential_post_optimization()BoomerConfig.use_sequential_rule_model_assemblage()BoomerConfig.use_single_label_heads()BoomerConfig.use_size_stopping_criterion()BoomerConfig.use_sparse_statistics()BoomerConfig.use_time_stopping_criterion()
- mlrl.boosting.cython.post_processor module
- mlrl.boosting.cython.prediction module
- mlrl.boosting.cython.probability_calibration module
- mlrl.boosting.cython.regularization module