mlrl.common.cython package

Submodules

• mlrl.common.cython.example_weights module
  • EqualExampleWeights
  • ExampleWeights
  • RealValuedExampleWeights
• mlrl.common.cython.feature_binning module
  • EqualFrequencyFeatureBinningConfig
    • EqualFrequencyFeatureBinningConfig.get_bin_ratio()
    • EqualFrequencyFeatureBinningConfig.get_max_bins()
    • EqualFrequencyFeatureBinningConfig.get_min_bins()
    • EqualFrequencyFeatureBinningConfig.set_bin_ratio()
    • EqualFrequencyFeatureBinningConfig.set_max_bins()
    • EqualFrequencyFeatureBinningConfig.set_min_bins()
  • EqualWidthFeatureBinningConfig
    • EqualWidthFeatureBinningConfig.get_bin_ratio()
    • EqualWidthFeatureBinningConfig.get_max_bins()
    • EqualWidthFeatureBinningConfig.get_min_bins()
    • EqualWidthFeatureBinningConfig.set_bin_ratio()
    • EqualWidthFeatureBinningConfig.set_max_bins()
    • EqualWidthFeatureBinningConfig.set_min_bins()
• mlrl.common.cython.feature_info module
  • EqualFeatureInfo
    • EqualFeatureInfo.create_nominal()
    • EqualFeatureInfo.create_numerical()
    • EqualFeatureInfo.create_ordinal()
  • FeatureInfo
  • MixedFeatureInfo
• mlrl.common.cython.feature_matrix module
  • CContiguousFeatureMatrix
  • ColumnWiseFeatureMatrix
  • CscFeatureMatrix
  • CsrFeatureMatrix
  • FeatureMatrix
    • FeatureMatrix.get_num_examples()
    • FeatureMatrix.get_num_features()
    • FeatureMatrix.is_sparse()
  • FortranContiguousFeatureMatrix
  • RowWiseFeatureMatrix
• mlrl.common.cython.feature_sampling module
  • FeatureSamplingWithoutReplacementConfig
    • FeatureSamplingWithoutReplacementConfig.get_max_samples()
    • FeatureSamplingWithoutReplacementConfig.get_min_samples()
    • FeatureSamplingWithoutReplacementConfig.get_num_retained()
    • FeatureSamplingWithoutReplacementConfig.get_sample_size()
    • FeatureSamplingWithoutReplacementConfig.set_max_samples()
    • FeatureSamplingWithoutReplacementConfig.set_min_samples()
    • FeatureSamplingWithoutReplacementConfig.set_num_retained()
    • FeatureSamplingWithoutReplacementConfig.set_sample_size()
• mlrl.common.cython.instance_sampling module
  • ExampleWiseStratifiedInstanceSamplingConfig
    • ExampleWiseStratifiedInstanceSamplingConfig.get_max_samples()
    • ExampleWiseStratifiedInstanceSamplingConfig.get_min_samples()
    • ExampleWiseStratifiedInstanceSamplingConfig.get_sample_size()
    • ExampleWiseStratifiedInstanceSamplingConfig.set_max_samples()
    • ExampleWiseStratifiedInstanceSamplingConfig.set_min_samples()
    • ExampleWiseStratifiedInstanceSamplingConfig.set_sample_size()
  • InstanceSamplingWithReplacementConfig
    • InstanceSamplingWithReplacementConfig.get_max_samples()
    • InstanceSamplingWithReplacementConfig.get_min_samples()
    • InstanceSamplingWithReplacementConfig.get_sample_size()
    • InstanceSamplingWithReplacementConfig.set_max_samples()
    • InstanceSamplingWithReplacementConfig.set_min_samples()
    • InstanceSamplingWithReplacementConfig.set_sample_size()
  • InstanceSamplingWithoutReplacementConfig
    • InstanceSamplingWithoutReplacementConfig.get_max_samples()
    • InstanceSamplingWithoutReplacementConfig.get_min_samples()
    • InstanceSamplingWithoutReplacementConfig.get_sample_size()
    • InstanceSamplingWithoutReplacementConfig.set_max_samples()
    • InstanceSamplingWithoutReplacementConfig.set_min_samples()
    • InstanceSamplingWithoutReplacementConfig.set_sample_size()
  • OutputWiseStratifiedInstanceSamplingConfig
    • OutputWiseStratifiedInstanceSamplingConfig.get_max_samples()
    • OutputWiseStratifiedInstanceSamplingConfig.get_min_samples()
    • OutputWiseStratifiedInstanceSamplingConfig.get_sample_size()
    • OutputWiseStratifiedInstanceSamplingConfig.set_max_samples()
    • OutputWiseStratifiedInstanceSamplingConfig.set_min_samples()
    • OutputWiseStratifiedInstanceSamplingConfig.set_sample_size()
• mlrl.common.cython.label_matrix module
  • CContiguousLabelMatrix
  • CsrLabelMatrix
  • RowWiseLabelMatrix
    • RowWiseLabelMatrix.calculate_label_cardinality()
• mlrl.common.cython.learner module
  • BeamSearchTopDownRuleInductionMixin
    • BeamSearchTopDownRuleInductionMixin.use_beam_search_top_down_rule_induction()
  • DefaultRuleMixin
    • DefaultRuleMixin.use_default_rule()
  • EqualFrequencyFeatureBinningMixin
    • EqualFrequencyFeatureBinningMixin.use_equal_frequency_feature_binning()
  • EqualWidthFeatureBinningMixin
    • EqualWidthFeatureBinningMixin.use_equal_width_feature_binning()
  • ExampleWiseStratifiedBiPartitionSamplingMixin
    • ExampleWiseStratifiedBiPartitionSamplingMixin.use_example_wise_stratified_bi_partition_sampling()
  • ExampleWiseStratifiedInstanceSamplingMixin
    • ExampleWiseStratifiedInstanceSamplingMixin.use_example_wise_stratified_instance_sampling()
  • FeatureSamplingWithoutReplacementMixin
    • FeatureSamplingWithoutReplacementMixin.use_feature_sampling_without_replacement()
  • GreedyTopDownRuleInductionMixin
    • GreedyTopDownRuleInductionMixin.use_greedy_top_down_rule_induction()
  • InstanceSamplingWithReplacementMixin
    • InstanceSamplingWithReplacementMixin.use_instance_sampling_with_replacement()
  • InstanceSamplingWithoutReplacementMixin
    • InstanceSamplingWithoutReplacementMixin.use_instance_sampling_without_replacement()
  • IrepRulePruningMixin
    • IrepRulePruningMixin.use_irep_rule_pruning()
  • NoFeatureBinningMixin
    • NoFeatureBinningMixin.use_no_feature_binning()
  • NoFeatureSamplingMixin
    • NoFeatureSamplingMixin.use_no_feature_sampling()
  • NoGlobalPruningMixin
    • NoGlobalPruningMixin.use_no_global_pruning()
  • NoInstanceSamplingMixin
    • NoInstanceSamplingMixin.use_no_instance_sampling()
  • NoJointProbabilityCalibrationMixin
    • NoJointProbabilityCalibrationMixin.use_no_joint_probability_calibration()
  • NoMarginalProbabilityCalibrationMixin
    • NoMarginalProbabilityCalibrationMixin.use_no_marginal_probability_calibration()
  • NoOutputSamplingMixin
    • NoOutputSamplingMixin.use_no_output_sampling()
  • NoParallelPredictionMixin
    • NoParallelPredictionMixin.use_no_parallel_prediction()
  • NoParallelRuleRefinementMixin
    • NoParallelRuleRefinementMixin.use_no_parallel_rule_refinement()
  • NoParallelStatisticUpdateMixin
    • NoParallelStatisticUpdateMixin.use_no_parallel_statistic_update()
  • NoPartitionSamplingMixin
    • NoPartitionSamplingMixin.use_no_partition_sampling()
  • NoPostProcessorMixin
    • NoPostProcessorMixin.use_no_post_processor()
  • NoRulePruningMixin
    • NoRulePruningMixin.use_no_rule_pruning()
  • NoSequentialPostOptimizationMixin
    • NoSequentialPostOptimizationMixin.use_no_sequential_post_optimization()
  • NoSizeStoppingCriterionMixin
    • NoSizeStoppingCriterionMixin.use_no_size_stopping_criterion()
  • NoTimeStoppingCriterionMixin
    • NoTimeStoppingCriterionMixin.use_no_time_stopping_criterion()
  • OutputSamplingWithoutReplacementMixin
    • OutputSamplingWithoutReplacementMixin.use_output_sampling_without_replacement()
  • OutputWiseStratifiedBiPartitionSamplingMixin
    • OutputWiseStratifiedBiPartitionSamplingMixin.use_output_wise_stratified_bi_partition_sampling()
  • OutputWiseStratifiedInstanceSamplingMixin
    • OutputWiseStratifiedInstanceSamplingMixin.use_output_wise_stratified_instance_sampling()
  • ParallelPredictionMixin
    • ParallelPredictionMixin.use_parallel_prediction()
  • ParallelRuleRefinementMixin
    • ParallelRuleRefinementMixin.use_parallel_rule_refinement()
  • ParallelStatisticUpdateMixin
    • ParallelStatisticUpdateMixin.use_parallel_statistic_update()
  • PostPruningMixin
    • PostPruningMixin.use_global_post_pruning()
  • PrePruningMixin
    • PrePruningMixin.use_global_pre_pruning()
  • RNGMixin
    • RNGMixin.use_rng()
  • RandomBiPartitionSamplingMixin
    • RandomBiPartitionSamplingMixin.use_random_bi_partition_sampling()
  • RoundRobinOutputSamplingMixin
    • RoundRobinOutputSamplingMixin.use_round_robin_output_sampling()
  • RuleLearnerConfig
  • SequentialPostOptimizationMixin
    • SequentialPostOptimizationMixin.use_sequential_post_optimization()
  • SequentialRuleModelAssemblageMixin
    • SequentialRuleModelAssemblageMixin.use_sequential_rule_model_assemblage()
  • SizeStoppingCriterionMixin
    • SizeStoppingCriterionMixin.use_size_stopping_criterion()
  • TimeStoppingCriterionMixin
    • TimeStoppingCriterionMixin.use_time_stopping_criterion()
  • TrainingResult
    • TrainingResult.joint_probability_calibration_model
    • TrainingResult.marginal_probability_calibration_model
    • TrainingResult.num_outputs
    • TrainingResult.output_space_info
    • TrainingResult.rule_model
• mlrl.common.cython.learner_classification module
  • ClassificationRuleLearner
    • ClassificationRuleLearner.can_predict_binary()
    • ClassificationRuleLearner.can_predict_probabilities()
    • ClassificationRuleLearner.can_predict_scores()
    • ClassificationRuleLearner.create_binary_predictor()
    • ClassificationRuleLearner.create_probability_predictor()
    • ClassificationRuleLearner.create_score_predictor()
    • ClassificationRuleLearner.create_sparse_binary_predictor()
    • ClassificationRuleLearner.fit()
  • ExampleWiseStratifiedBiPartitionSamplingMixin
    • ExampleWiseStratifiedBiPartitionSamplingMixin.use_example_wise_stratified_bi_partition_sampling()
  • ExampleWiseStratifiedInstanceSamplingMixin
    • ExampleWiseStratifiedInstanceSamplingMixin.use_example_wise_stratified_instance_sampling()
  • OutputWiseStratifiedBiPartitionSamplingMixin
    • OutputWiseStratifiedBiPartitionSamplingMixin.use_output_wise_stratified_bi_partition_sampling()
  • OutputWiseStratifiedInstanceSamplingMixin
    • OutputWiseStratifiedInstanceSamplingMixin.use_output_wise_stratified_instance_sampling()
• mlrl.common.cython.learner_regression module
  • RegressionRuleLearner
    • RegressionRuleLearner.can_predict_scores()
    • RegressionRuleLearner.create_score_predictor()
    • RegressionRuleLearner.fit()
• mlrl.common.cython.multi_threading module
  • ManualMultiThreadingConfig
    • ManualMultiThreadingConfig.get_num_preferred_threads()
    • ManualMultiThreadingConfig.set_num_preferred_threads()
• mlrl.common.cython.output_matrix module
  • OutputMatrix
    • OutputMatrix.get_num_cols()
    • OutputMatrix.get_num_rows()
    • OutputMatrix.is_sparse()
• mlrl.common.cython.output_sampling module
  • OutputSamplingWithoutReplacementConfig
    • OutputSamplingWithoutReplacementConfig.get_max_samples()
    • OutputSamplingWithoutReplacementConfig.get_min_samples()
    • OutputSamplingWithoutReplacementConfig.get_sample_size()
    • OutputSamplingWithoutReplacementConfig.set_max_samples()
    • OutputSamplingWithoutReplacementConfig.set_min_samples()
    • OutputSamplingWithoutReplacementConfig.set_sample_size()
• mlrl.common.cython.output_space_info module
  • LabelVectorSet
    • LabelVectorSet.visit()
  • LabelVectorSetVisitor
    • LabelVectorSetVisitor.visit_label_vector()
  • NoOutputSpaceInfo
  • OutputSpaceInfo
• mlrl.common.cython.package_info module
  • CppBuildOption
    • CppBuildOption.description
    • CppBuildOption.option
    • CppBuildOption.value
  • CppHardwareResource
    • CppHardwareResource.info
    • CppHardwareResource.resource
  • CppLibraryInfo
    • CppLibraryInfo.build_options
    • CppLibraryInfo.hardware_resources
    • CppLibraryInfo.library_name
    • CppLibraryInfo.library_version
    • CppLibraryInfo.target_architecture
  • get_cpp_library_info()
  • get_gpu_devices()
  • get_num_cpu_cores()
  • is_gpu_available()
  • is_gpu_support_enabled()
  • is_multi_threading_support_enabled()
• mlrl.common.cython.partition_sampling module
  • ExampleWiseStratifiedBiPartitionSamplingConfig
    • ExampleWiseStratifiedBiPartitionSamplingConfig.get_holdout_set_size()
    • ExampleWiseStratifiedBiPartitionSamplingConfig.set_holdout_set_size()
  • OutputWiseStratifiedBiPartitionSamplingConfig
    • OutputWiseStratifiedBiPartitionSamplingConfig.get_holdout_set_size()
    • OutputWiseStratifiedBiPartitionSamplingConfig.set_holdout_set_size()
  • RandomBiPartitionSamplingConfig
    • RandomBiPartitionSamplingConfig.get_holdout_set_size()
    • RandomBiPartitionSamplingConfig.set_holdout_set_size()
• mlrl.common.cython.post_optimization module
  • SequentialPostOptimizationConfig
    • SequentialPostOptimizationConfig.are_features_resampled()
    • SequentialPostOptimizationConfig.are_heads_refined()
    • SequentialPostOptimizationConfig.get_num_iterations()
    • SequentialPostOptimizationConfig.set_num_iterations()
    • SequentialPostOptimizationConfig.set_refine_heads()
    • SequentialPostOptimizationConfig.set_resample_features()
• mlrl.common.cython.prediction module
  • BinaryPredictor
    • BinaryPredictor.can_predict_incrementally()
    • BinaryPredictor.create_incremental_predictor()
    • BinaryPredictor.predict()
  • IncrementalBinaryPredictor
    • IncrementalBinaryPredictor.apply_next()
    • IncrementalBinaryPredictor.get_num_next()
    • IncrementalBinaryPredictor.has_next()
  • IncrementalProbabilityPredictor
    • IncrementalProbabilityPredictor.apply_next()
    • IncrementalProbabilityPredictor.get_num_next()
    • IncrementalProbabilityPredictor.has_next()
  • IncrementalScorePredictor
    • IncrementalScorePredictor.apply_next()
    • IncrementalScorePredictor.get_num_next()
    • IncrementalScorePredictor.has_next()
  • IncrementalSparseBinaryPredictor
    • IncrementalSparseBinaryPredictor.apply_next()
    • IncrementalSparseBinaryPredictor.get_num_next()
    • IncrementalSparseBinaryPredictor.has_next()
  • ProbabilityPredictor
    • ProbabilityPredictor.can_predict_incrementally()
    • ProbabilityPredictor.create_incremental_predictor()
    • ProbabilityPredictor.predict()
  • ScorePredictor
    • ScorePredictor.can_predict_incrementally()
    • ScorePredictor.create_incremental_predictor()
    • ScorePredictor.predict()
  • SparseBinaryPredictor
    • SparseBinaryPredictor.can_predict_incrementally()
    • SparseBinaryPredictor.create_incremental_predictor()
    • SparseBinaryPredictor.predict()
• mlrl.common.cython.probability_calibration module
  • IsotonicJointProbabilityCalibrationModel
    • IsotonicJointProbabilityCalibrationModel.visit()
  • IsotonicMarginalProbabilityCalibrationModel
    • IsotonicMarginalProbabilityCalibrationModel.visit()
  • IsotonicProbabilityCalibrationModel
    • IsotonicProbabilityCalibrationModel.visit()
  • IsotonicProbabilityCalibrationModelVisitor
    • IsotonicProbabilityCalibrationModelVisitor.visit_bin()
  • JointProbabilityCalibrationModel
  • MarginalProbabilityCalibrationModel
  • NoJointProbabilityCalibrationModel
  • NoMarginalProbabilityCalibrationModel
  • NoProbabilityCalibrationModel
• mlrl.common.cython.regression_matrix module
  • CContiguousRegressionMatrix
  • CsrRegressionMatrix
  • RowWiseRegressionMatrix
• mlrl.common.cython.rng module
  • RNGConfig
    • RNGConfig.get_random_state()
    • RNGConfig.set_random_state()
• mlrl.common.cython.rule_induction module
  • BeamSearchTopDownRuleInductionConfig
    • BeamSearchTopDownRuleInductionConfig.are_features_resampled()
    • BeamSearchTopDownRuleInductionConfig.are_predictions_recalculated()
    • BeamSearchTopDownRuleInductionConfig.get_beam_width()
    • BeamSearchTopDownRuleInductionConfig.get_max_conditions()
    • BeamSearchTopDownRuleInductionConfig.get_max_head_refinements()
    • BeamSearchTopDownRuleInductionConfig.get_min_coverage()
    • BeamSearchTopDownRuleInductionConfig.get_min_support()
    • BeamSearchTopDownRuleInductionConfig.set_beam_width()
    • BeamSearchTopDownRuleInductionConfig.set_max_conditions()
    • BeamSearchTopDownRuleInductionConfig.set_max_head_refinements()
    • BeamSearchTopDownRuleInductionConfig.set_min_coverage()
    • BeamSearchTopDownRuleInductionConfig.set_min_support()
    • BeamSearchTopDownRuleInductionConfig.set_recalculate_predictions()
    • BeamSearchTopDownRuleInductionConfig.set_resample_features()
  • GreedyTopDownRuleInductionConfig
    • GreedyTopDownRuleInductionConfig.are_predictions_recalculated()
    • GreedyTopDownRuleInductionConfig.get_max_conditions()
    • GreedyTopDownRuleInductionConfig.get_max_head_refinements()
    • GreedyTopDownRuleInductionConfig.get_min_coverage()
    • GreedyTopDownRuleInductionConfig.get_min_support()
    • GreedyTopDownRuleInductionConfig.set_max_conditions()
    • GreedyTopDownRuleInductionConfig.set_max_head_refinements()
    • GreedyTopDownRuleInductionConfig.set_min_coverage()
    • GreedyTopDownRuleInductionConfig.set_min_support()
    • GreedyTopDownRuleInductionConfig.set_recalculate_predictions()
• mlrl.common.cython.rule_model module
  • Body
  • Comparator
    • Comparator.EQ
    • Comparator.GR
    • Comparator.LEQ
    • Comparator.NEQ
  • CompleteHead
    • CompleteHead.scores
  • Condition
    • Condition.comparator
    • Condition.feature_index
    • Condition.threshold
  • ConjunctiveBody
    • ConjunctiveBody.nominal_eq_indices
    • ConjunctiveBody.nominal_eq_thresholds
    • ConjunctiveBody.nominal_neq_indices
    • ConjunctiveBody.nominal_neq_thresholds
    • ConjunctiveBody.numerical_gr_indices
    • ConjunctiveBody.numerical_gr_thresholds
    • ConjunctiveBody.numerical_leq_indices
    • ConjunctiveBody.numerical_leq_thresholds
    • ConjunctiveBody.ordinal_gr_indices
    • ConjunctiveBody.ordinal_gr_thresholds
    • ConjunctiveBody.ordinal_leq_indices
    • ConjunctiveBody.ordinal_leq_thresholds
  • EmptyBody
  • Head
  • PartialHead
    • PartialHead.indices
    • PartialHead.scores
  • Prediction
    • Prediction.output_index
    • Prediction.value
  • Rule
    • Rule.body
    • Rule.head
  • RuleList
    • RuleList.contains_default_rule()
    • RuleList.is_default_rule_taking_precedence()
    • RuleList.visit()
    • RuleList.visit_used()
  • RuleModel
    • RuleModel.get_num_rules()
    • RuleModel.get_num_used_rules()
    • RuleModel.set_num_used_rules()
    • RuleModel.visit()
    • RuleModel.visit_used()
  • RuleModelVisitor
    • RuleModelVisitor.visit_complete_head()
    • RuleModelVisitor.visit_conjunctive_body()
    • RuleModelVisitor.visit_empty_body()
    • RuleModelVisitor.visit_partial_head()
• mlrl.common.cython.stopping_criterion module
  • AggregationFunction
    • AggregationFunction.ARITHMETIC_MEAN
    • AggregationFunction.MAX
    • AggregationFunction.MIN
  • AggregationFunctionImpl
    • AggregationFunctionImpl.ARITHMETIC_MEAN
    • AggregationFunctionImpl.MAX
    • AggregationFunctionImpl.MIN
  • PostPruningConfig
    • PostPruningConfig.get_interval()
    • PostPruningConfig.get_min_rules()
    • PostPruningConfig.is_holdout_set_used()
    • PostPruningConfig.is_remove_unused_rules()
    • PostPruningConfig.set_interval()
    • PostPruningConfig.set_min_rules()
    • PostPruningConfig.set_remove_unused_rules()
    • PostPruningConfig.set_use_holdout_set()
  • PrePruningConfig
    • PrePruningConfig.get_aggregation_function()
    • PrePruningConfig.get_min_improvement()
    • PrePruningConfig.get_min_rules()
    • PrePruningConfig.get_num_current()
    • PrePruningConfig.get_num_past()
    • PrePruningConfig.get_stop_interval()
    • PrePruningConfig.get_update_interval()
    • PrePruningConfig.is_holdout_set_used()
    • PrePruningConfig.is_remove_unused_rules()
    • PrePruningConfig.set_aggregation_function()
    • PrePruningConfig.set_min_improvement()
    • PrePruningConfig.set_min_rules()
    • PrePruningConfig.set_num_current()
    • PrePruningConfig.set_num_past()
    • PrePruningConfig.set_remove_unused_rules()
    • PrePruningConfig.set_stop_interval()
    • PrePruningConfig.set_update_interval()
    • PrePruningConfig.set_use_holdout_set()
  • SizeStoppingCriterionConfig
    • SizeStoppingCriterionConfig.get_max_rules()
    • SizeStoppingCriterionConfig.set_max_rules()
  • TimeStoppingCriterionConfig
    • TimeStoppingCriterionConfig.get_time_limit()
    • TimeStoppingCriterionConfig.set_time_limit()