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BOOMER 0.15.4
BOOMER 0.15.4

Quickstart

  • Installation
  • Using the Python API
  • Using the Command Line API

User Guide

  • Foundations
    • Rule Learning Algorithms
    • Problem Definition
    • Conceptual Framework
  • The BOOMER Algorithm
    • Methodology
    • Overview of Parameters
  • The SeCo Algorithm
    • Overview of Parameters
  • Algorithmic Optimizations
    • Pre-Sorted Search
    • Exploiting Feature Sparsity
    • Nominal Features
    • Missing Feature Values
    • Histogram-based Search
    • Multi-Threading
  • mlrl-testbed
    • Introduction
    • Supported Dataset Formats
    • Performance Evaluation
    • Data Pre-Processing
    • Saving and Loading Data
    • Using Your Own Algorithms
    • Batch Mode
    • Run Mode
    • Read Mode
    • Overview of Arguments
  • References

Developer Guide

  • Project Structure
  • Building from Source
  • Generating the Documentation
  • Continuous Integration
  • Coding Standards
  • Python API Reference
    • Package mlrl-testbed-sklearn
      • mlrl.testbed_sklearn.experiments package
        • mlrl.testbed_sklearn.experiments.input package
          • mlrl.testbed_sklearn.experiments.input.dataset package
            • mlrl.testbed_sklearn.experiments.input.dataset.preprocessors package
              • mlrl.testbed_sklearn.experiments.input.dataset.preprocessors.extension module
              • mlrl.testbed_sklearn.experiments.input.dataset.preprocessors.one_hot_encoder module
            • mlrl.testbed_sklearn.experiments.input.dataset.splitters package
              • mlrl.testbed_sklearn.experiments.input.dataset.splitters.extension module
              • mlrl.testbed_sklearn.experiments.input.dataset.splitters.splitter_bipartition module
              • mlrl.testbed_sklearn.experiments.input.dataset.splitters.splitter_cross_validation module
            • mlrl.testbed_sklearn.experiments.input.dataset.extension module
          • mlrl.testbed_sklearn.experiments.input.sources package
            • mlrl.testbed_sklearn.experiments.input.sources.source_svm module
        • mlrl.testbed_sklearn.experiments.output package
          • mlrl.testbed_sklearn.experiments.output.characteristics package
            • mlrl.testbed_sklearn.experiments.output.characteristics.data package
              • mlrl.testbed_sklearn.experiments.output.characteristics.data.characteristics module
              • mlrl.testbed_sklearn.experiments.output.characteristics.data.characteristics_data module
              • mlrl.testbed_sklearn.experiments.output.characteristics.data.characteristics_prediction module
              • mlrl.testbed_sklearn.experiments.output.characteristics.data.extension module
              • mlrl.testbed_sklearn.experiments.output.characteristics.data.extension_prediction module
              • mlrl.testbed_sklearn.experiments.output.characteristics.data.matrix_feature module
              • mlrl.testbed_sklearn.experiments.output.characteristics.data.matrix_label module
              • mlrl.testbed_sklearn.experiments.output.characteristics.data.matrix_output module
              • mlrl.testbed_sklearn.experiments.output.characteristics.data.writer_data module
              • mlrl.testbed_sklearn.experiments.output.characteristics.data.writer_prediction module
          • mlrl.testbed_sklearn.experiments.output.dataset package
            • mlrl.testbed_sklearn.experiments.output.dataset.dataset module
            • mlrl.testbed_sklearn.experiments.output.dataset.dataset_ground_truth module
            • mlrl.testbed_sklearn.experiments.output.dataset.dataset_prediction module
            • mlrl.testbed_sklearn.experiments.output.dataset.extension_ground_truth module
            • mlrl.testbed_sklearn.experiments.output.dataset.extension_prediction module
            • mlrl.testbed_sklearn.experiments.output.dataset.writer_ground_truth module
            • mlrl.testbed_sklearn.experiments.output.dataset.writer_prediction module
          • mlrl.testbed_sklearn.experiments.output.evaluation package
            • mlrl.testbed_sklearn.experiments.output.evaluation.evaluation_result module
            • mlrl.testbed_sklearn.experiments.output.evaluation.extension module
            • mlrl.testbed_sklearn.experiments.output.evaluation.extractor_classification module
            • mlrl.testbed_sklearn.experiments.output.evaluation.extractor_ranking module
            • mlrl.testbed_sklearn.experiments.output.evaluation.extractor_regression module
            • mlrl.testbed_sklearn.experiments.output.evaluation.measures_classification module
            • mlrl.testbed_sklearn.experiments.output.evaluation.measures_ranking module
            • mlrl.testbed_sklearn.experiments.output.evaluation.measures_regression module
            • mlrl.testbed_sklearn.experiments.output.evaluation.writer module
          • mlrl.testbed_sklearn.experiments.output.label_vectors package
            • mlrl.testbed_sklearn.experiments.output.label_vectors.extension module
            • mlrl.testbed_sklearn.experiments.output.label_vectors.label_vector_histogram module
            • mlrl.testbed_sklearn.experiments.output.label_vectors.label_vectors module
            • mlrl.testbed_sklearn.experiments.output.label_vectors.writer module
        • mlrl.testbed_sklearn.experiments.prediction package
          • mlrl.testbed_sklearn.experiments.prediction.extension module
          • mlrl.testbed_sklearn.experiments.prediction.predictor module
          • mlrl.testbed_sklearn.experiments.prediction.predictor_global module
        • mlrl.testbed_sklearn.experiments.dataset module
        • mlrl.testbed_sklearn.experiments.experiment module
        • mlrl.testbed_sklearn.experiments.problem_domain module
      • mlrl.testbed_sklearn.runnables module
    • Package mlrl-util
      • mlrl.util.arrays module
      • mlrl.util.cli module
      • mlrl.util.format module
      • mlrl.util.options module
      • mlrl.util.validation module
      • mlrl.util.version module
    • Package mlrl-testbed-slurm
      • mlrl.testbed_slurm.arguments module
      • mlrl.testbed_slurm.extension module
      • mlrl.testbed_slurm.runner module
      • mlrl.testbed_slurm.sbatch module
    • Package mlrl-testbed
      • mlrl.testbed.experiments package
        • mlrl.testbed.experiments.input package
          • mlrl.testbed.experiments.input.dataset package
            • mlrl.testbed.experiments.input.dataset.preprocessors package
              • mlrl.testbed.experiments.input.dataset.preprocessors.preprocessor module
            • mlrl.testbed.experiments.input.dataset.splitters package
              • mlrl.testbed.experiments.input.dataset.splitters.arguments module
              • mlrl.testbed.experiments.input.dataset.splitters.splitter module
              • mlrl.testbed.experiments.input.dataset.splitters.splitter_no module
            • mlrl.testbed.experiments.input.dataset.arguments module
            • mlrl.testbed.experiments.input.dataset.dataset module
            • mlrl.testbed.experiments.input.dataset.extension module
            • mlrl.testbed.experiments.input.dataset.reader module
          • mlrl.testbed.experiments.input.meta_data package
            • mlrl.testbed.experiments.input.meta_data.meta_data module
            • mlrl.testbed.experiments.input.meta_data.reader module
          • mlrl.testbed.experiments.input.model package
            • mlrl.testbed.experiments.input.model.extension module
            • mlrl.testbed.experiments.input.model.model module
            • mlrl.testbed.experiments.input.model.reader module
          • mlrl.testbed.experiments.input.parameters package
            • mlrl.testbed.experiments.input.parameters.extension module
            • mlrl.testbed.experiments.input.parameters.parameters module
            • mlrl.testbed.experiments.input.parameters.reader module
          • mlrl.testbed.experiments.input.sources package
            • mlrl.testbed.experiments.input.sources.source module
            • mlrl.testbed.experiments.input.sources.source_csv module
            • mlrl.testbed.experiments.input.sources.source_pickle module
            • mlrl.testbed.experiments.input.sources.source_text module
            • mlrl.testbed.experiments.input.sources.source_yaml module
          • mlrl.testbed.experiments.input.arguments module
          • mlrl.testbed.experiments.input.data module
          • mlrl.testbed.experiments.input.extension module
          • mlrl.testbed.experiments.input.policies module
          • mlrl.testbed.experiments.input.reader module
        • mlrl.testbed.experiments.output package
          • mlrl.testbed.experiments.output.dataset package
            • mlrl.testbed.experiments.output.dataset.dataset module
          • mlrl.testbed.experiments.output.evaluation package
            • mlrl.testbed.experiments.output.evaluation.evaluation_result module
            • mlrl.testbed.experiments.output.evaluation.extension module
            • mlrl.testbed.experiments.output.evaluation.measurements module
            • mlrl.testbed.experiments.output.evaluation.measures module
            • mlrl.testbed.experiments.output.evaluation.writer module
          • mlrl.testbed.experiments.output.meta_data package
            • mlrl.testbed.experiments.output.meta_data.arguments module
            • mlrl.testbed.experiments.output.meta_data.extension module
            • mlrl.testbed.experiments.output.meta_data.meta_data module
            • mlrl.testbed.experiments.output.meta_data.writer module
          • mlrl.testbed.experiments.output.model package
            • mlrl.testbed.experiments.output.model.arguments module
            • mlrl.testbed.experiments.output.model.extension module
            • mlrl.testbed.experiments.output.model.model module
            • mlrl.testbed.experiments.output.model.writer module
          • mlrl.testbed.experiments.output.parameters package
            • mlrl.testbed.experiments.output.parameters.arguments module
            • mlrl.testbed.experiments.output.parameters.extension module
            • mlrl.testbed.experiments.output.parameters.parameters module
            • mlrl.testbed.experiments.output.parameters.writer module
          • mlrl.testbed.experiments.output.sinks package
            • mlrl.testbed.experiments.output.sinks.sink module
            • mlrl.testbed.experiments.output.sinks.sink_csv module
            • mlrl.testbed.experiments.output.sinks.sink_log module
            • mlrl.testbed.experiments.output.sinks.sink_pickle module
            • mlrl.testbed.experiments.output.sinks.sink_text module
            • mlrl.testbed.experiments.output.sinks.sink_yaml module
          • mlrl.testbed.experiments.output.arguments module
          • mlrl.testbed.experiments.output.data module
          • mlrl.testbed.experiments.output.extension module
          • mlrl.testbed.experiments.output.policies module
          • mlrl.testbed.experiments.output.writer module
        • mlrl.testbed.experiments.context module
        • mlrl.testbed.experiments.data module
        • mlrl.testbed.experiments.dataset module
        • mlrl.testbed.experiments.dataset_type module
        • mlrl.testbed.experiments.experiment module
        • mlrl.testbed.experiments.file_path module
        • mlrl.testbed.experiments.fold module
        • mlrl.testbed.experiments.meta_data module
        • mlrl.testbed.experiments.prediction_scope module
        • mlrl.testbed.experiments.prediction_type module
        • mlrl.testbed.experiments.problem_domain module
        • mlrl.testbed.experiments.recipe module
        • mlrl.testbed.experiments.state module
        • mlrl.testbed.experiments.table module
        • mlrl.testbed.experiments.timer module
      • mlrl.testbed.extensions package
        • mlrl.testbed.extensions.extension module
      • mlrl.testbed.modes package
        • mlrl.testbed.modes.mode module
        • mlrl.testbed.modes.mode_batch module
        • mlrl.testbed.modes.mode_read module
        • mlrl.testbed.modes.mode_run module
        • mlrl.testbed.modes.mode_single module
        • mlrl.testbed.modes.util module
      • mlrl.testbed.util package
        • mlrl.testbed.util.format module
        • mlrl.testbed.util.io module
        • mlrl.testbed.util.math module
        • mlrl.testbed.util.yml module
      • mlrl.testbed.arguments module
      • mlrl.testbed.command module
      • mlrl.testbed.main module
      • mlrl.testbed.program_info module
      • mlrl.testbed.runnables module
    • Package mlrl-common
      • mlrl.common.config package
        • mlrl.common.config.parameters module
      • mlrl.common.cython package
        • mlrl.common.cython.example_weights module
        • mlrl.common.cython.feature_binning module
        • mlrl.common.cython.feature_info module
        • mlrl.common.cython.feature_matrix module
        • mlrl.common.cython.feature_sampling module
        • mlrl.common.cython.instance_sampling module
        • mlrl.common.cython.label_matrix module
        • mlrl.common.cython.learner module
        • mlrl.common.cython.learner_classification module
        • mlrl.common.cython.learner_regression module
        • mlrl.common.cython.multi_threading module
        • mlrl.common.cython.output_matrix module
        • mlrl.common.cython.output_sampling module
        • mlrl.common.cython.output_space_info module
        • mlrl.common.cython.package_info module
        • mlrl.common.cython.partition_sampling module
        • mlrl.common.cython.post_optimization module
        • mlrl.common.cython.prediction module
        • mlrl.common.cython.probability_calibration module
        • mlrl.common.cython.regression_matrix module
        • mlrl.common.cython.rng module
        • mlrl.common.cython.rule_induction module
        • mlrl.common.cython.rule_model module
        • mlrl.common.cython.stopping_criterion module
      • mlrl.common.testbed package
        • mlrl.common.testbed.experiments package
          • mlrl.common.testbed.experiments.output package
            • mlrl.common.testbed.experiments.output.characteristics package
              • mlrl.common.testbed.experiments.output.characteristics.model package
                • mlrl.common.testbed.experiments.output.characteristics.model.characteristics module
                • mlrl.common.testbed.experiments.output.characteristics.model.extension module
                • mlrl.common.testbed.experiments.output.characteristics.model.statistics module
                • mlrl.common.testbed.experiments.output.characteristics.model.writer module
            • mlrl.common.testbed.experiments.output.label_vectors package
              • mlrl.common.testbed.experiments.output.label_vectors.extension module
            • mlrl.common.testbed.experiments.output.model_text package
              • mlrl.common.testbed.experiments.output.model_text.extension module
              • mlrl.common.testbed.experiments.output.model_text.model_text module
              • mlrl.common.testbed.experiments.output.model_text.writer module
          • mlrl.common.testbed.experiments.prediction package
            • mlrl.common.testbed.experiments.prediction.predictor_incremental module
          • mlrl.common.testbed.experiments.experiment module
        • mlrl.common.testbed.program_info module
        • mlrl.common.testbed.runnables module
      • mlrl.common.learners module
      • mlrl.common.mixins module
      • mlrl.common.package_info module
    • Package mlrl-boosting
      • mlrl.boosting.config package
        • mlrl.boosting.config.parameters module
      • mlrl.boosting.cython package
        • mlrl.boosting.cython.head_type module
        • mlrl.boosting.cython.label_binning module
        • mlrl.boosting.cython.learner module
        • mlrl.boosting.cython.learner_boomer module
        • mlrl.boosting.cython.learner_classification module
        • mlrl.boosting.cython.package_info module
        • mlrl.boosting.cython.post_processor module
        • mlrl.boosting.cython.prediction module
        • mlrl.boosting.cython.probability_calibration module
        • mlrl.boosting.cython.regularization module
      • mlrl.boosting.testbed package
        • mlrl.boosting.testbed.experiments package
          • mlrl.boosting.testbed.experiments.output package
            • mlrl.boosting.testbed.experiments.output.probability_calibration package
              • mlrl.boosting.testbed.experiments.output.probability_calibration.extension module
              • mlrl.boosting.testbed.experiments.output.probability_calibration.model_isotonic module
              • mlrl.boosting.testbed.experiments.output.probability_calibration.model_no module
              • mlrl.boosting.testbed.experiments.output.probability_calibration.writer module
        • mlrl.boosting.testbed.runnables module
      • mlrl.boosting.learners module
      • mlrl.boosting.package_info module
    • Package mlrl-testbed-arff
      • mlrl.testbed_arff.experiments package
        • mlrl.testbed_arff.experiments.input package
          • mlrl.testbed_arff.experiments.input.sources package
            • mlrl.testbed_arff.experiments.input.sources.source_arff module
        • mlrl.testbed_arff.experiments.output package
          • mlrl.testbed_arff.experiments.output.sinks package
            • mlrl.testbed_arff.experiments.output.sinks.sink_arff module
    • Package mlrl-seco
      • mlrl.seco.config package
        • mlrl.seco.config.parameters module
      • mlrl.seco.cython package
        • mlrl.seco.cython.heuristic module
        • mlrl.seco.cython.learner module
        • mlrl.seco.cython.learner_seco module
        • mlrl.seco.cython.lift_function module
        • mlrl.seco.cython.package_info module
        • mlrl.seco.cython.stopping_criterion module
      • mlrl.seco.testbed package
        • mlrl.seco.testbed.runnables module
      • mlrl.seco.learners module
      • mlrl.seco.package_info module
  • C++ API Reference
    • Library libmlrlcommon
      • File aggregation_function.hpp
      • File array.hpp
      • File body.hpp
      • File body_conjunctive.hpp
      • File body_empty.hpp
      • File condition.hpp
      • File condition_list.hpp
      • File coverage_mask.hpp
      • File default_rule.hpp
      • File dll_exports.hpp
      • File example_weights.hpp
      • File example_weights_equal.hpp
      • File example_weights_real_valued.hpp
      • File feature_binning.hpp
      • File feature_binning_equal_frequency.hpp
      • File feature_binning_equal_width.hpp
      • File feature_binning_no.hpp
      • File feature_info.hpp
      • File feature_info_equal.hpp
      • File feature_info_mixed.hpp
      • File feature_matrix.hpp
      • File feature_matrix_c_contiguous.hpp
      • File feature_matrix_column_wise.hpp
      • File feature_matrix_csc.hpp
      • File feature_matrix_csr.hpp
      • File feature_matrix_fortran_contiguous.hpp
      • File feature_matrix_row_wise.hpp
      • File feature_sampling.hpp
      • File feature_sampling_no.hpp
      • File feature_sampling_predefined.hpp
      • File feature_sampling_without_replacement.hpp
      • File feature_space.hpp
      • File feature_space_tabular.hpp
      • File feature_subspace.hpp
      • File feature_type.hpp
      • File feature_type_nominal.hpp
      • File feature_type_numerical.hpp
      • File feature_type_ordinal.hpp
      • File feature_vector.hpp
      • File feature_vector_binary.hpp
      • File feature_vector_binned.hpp
      • File feature_vector_equal.hpp
      • File feature_vector_missing.hpp
      • File feature_vector_nominal.hpp
      • File feature_vector_numerical.hpp
      • File feature_vector_ordinal.hpp
      • File global_pruning.hpp
      • File global_pruning_no.hpp
      • File global_pruning_post.hpp
      • File global_pruning_pre.hpp
      • File head.hpp
      • File head_complete.hpp
      • File head_partial.hpp
      • File index_vector.hpp
      • File index_vector_complete.hpp
      • File index_vector_partial.hpp
      • File indexed_value.hpp
      • File instance_sampling.hpp
      • File instance_sampling_no.hpp
      • File instance_sampling_stratified_example_wise.hpp
      • File instance_sampling_stratified_output_wise.hpp
      • File instance_sampling_with_replacement.hpp
      • File instance_sampling_without_replacement.hpp
      • File interval.hpp
      • File iterator_binned.hpp
      • File iterator_equal.hpp
      • File iterator_forward_non_zero_index.hpp
      • File iterator_forward_sparse.hpp
      • File iterator_forward_sparse_binary.hpp
      • File iterator_index.hpp
      • File iterators.hpp
      • File label_matrix_c_contiguous.hpp
      • File label_matrix_csr.hpp
      • File label_matrix_row_wise.hpp
      • File label_vector.hpp
      • File label_vector_set.hpp
      • File learner.hpp
      • File learner_classification.hpp
      • File learner_classification_common.hpp
      • File learner_common.hpp
      • File learner_regression.hpp
      • File learner_regression_common.hpp
      • File library_info.hpp
      • File math.hpp
      • File matrix_c_contiguous.hpp
      • File matrix_dense.hpp
      • File matrix_lil.hpp
      • File matrix_lil_binary.hpp
      • File matrix_sparse_binary.hpp
      • File matrix_sparse_set.hpp
      • File measure_distance.hpp
      • File measure_evaluation.hpp
      • File measure_evaluation_sparse.hpp
      • File memory.hpp
      • File model_builder.hpp
      • File model_builder_intermediate.hpp
      • File multi_threading.hpp
      • File multi_threading_manual.hpp
      • File multi_threading_no.hpp
      • File opencl.hpp
      • File openmp.hpp
      • File output_matrix.hpp
      • File output_sampling.hpp
      • File output_sampling_no.hpp
      • File output_sampling_round_robin.hpp
      • File output_sampling_without_replacement.hpp
      • File output_space_info.hpp
      • File output_space_info_no.hpp
      • File partition.hpp
      • File partition_bi.hpp
      • File partition_sampling.hpp
      • File partition_sampling_bi_random.hpp
      • File partition_sampling_bi_stratified_example_wise.hpp
      • File partition_sampling_bi_stratified_output_wise.hpp
      • File partition_sampling_no.hpp
      • File partition_single.hpp
      • File post_optimization.hpp
      • File post_optimization_no.hpp
      • File post_optimization_phase_list.hpp
      • File post_optimization_sequential.hpp
      • File post_optimization_unused_rule_removal.hpp
      • File post_processor.hpp
      • File post_processor_no.hpp
      • File prediction.hpp
      • File prediction_complete.hpp
      • File prediction_evaluated.hpp
      • File prediction_matrix_dense.hpp
      • File prediction_matrix_sparse_binary.hpp
      • File prediction_partial.hpp
      • File predictor.hpp
      • File predictor_binary.hpp
      • File predictor_binary_no.hpp
      • File predictor_common.hpp
      • File predictor_probability.hpp
      • File predictor_probability_no.hpp
      • File predictor_score.hpp
      • File predictor_score_no.hpp
      • File probability_calibration.hpp
      • File probability_calibration_isotonic.hpp
      • File probability_calibration_joint.hpp
      • File probability_calibration_marginal.hpp
      • File probability_calibration_no.hpp
      • File properties.hpp
      • File quality.hpp
      • File refinement.hpp
      • File refinement_comparator_fixed.hpp
      • File refinement_comparator_single.hpp
      • File regression_matrix_c_contiguous.hpp
      • File regression_matrix_csr.hpp
      • File regression_matrix_row_wise.hpp
      • File ring_buffer.hpp
      • File rng.hpp
      • File rule_compare_function.hpp
      • File rule_induction.hpp
      • File rule_induction_top_down_beam_search.hpp
      • File rule_induction_top_down_greedy.hpp
      • File rule_list.hpp
      • File rule_model.hpp
      • File rule_model_assemblage.hpp
      • File rule_model_assemblage_sequential.hpp
      • File rule_pruning.hpp
      • File rule_pruning_irep.hpp
      • File rule_pruning_no.hpp
      • File rule_refinement.hpp
      • File rule_refinement_statistics_based.hpp
      • File score_processor.hpp
      • File score_vector.hpp
      • File score_vector_binned_dense.hpp
      • File score_vector_bit.hpp
      • File score_vector_dense.hpp
      • File statistics.hpp
      • File statistics_provider.hpp
      • File statistics_space.hpp
      • File statistics_state.hpp
      • File statistics_subset.hpp
      • File statistics_subset_resettable.hpp
      • File statistics_update.hpp
      • File statistics_update_candidate.hpp
      • File statistics_update_candidate_common.hpp
      • File statistics_weighted.hpp
      • File stopping_criterion.hpp
      • File stopping_criterion_list.hpp
      • File stopping_criterion_no.hpp
      • File stopping_criterion_size.hpp
      • File stopping_criterion_time.hpp
      • File stratified_sampling_example_wise.hpp
      • File stratified_sampling_output_wise.hpp
      • File strings.hpp
      • File threads.hpp
      • File types.hpp
      • File validation.hpp
      • File vector_bit.hpp
      • File vector_dense.hpp
      • File vector_dok_binary.hpp
      • File vector_sparse_array.hpp
      • File vector_sparse_array_binary.hpp
      • File view.hpp
      • File view_composite.hpp
      • File view_compressed.hpp
      • File view_functions.hpp
      • File view_matrix.hpp
      • File view_matrix_c_contiguous.hpp
      • File view_matrix_composite.hpp
      • File view_matrix_csc.hpp
      • File view_matrix_csc_binary.hpp
      • File view_matrix_csr.hpp
      • File view_matrix_csr_binary.hpp
      • File view_matrix_dense.hpp
      • File view_matrix_fortran_contiguous.hpp
      • File view_matrix_lil.hpp
      • File view_matrix_sparse.hpp
      • File view_matrix_sparse_binary.hpp
      • File view_matrix_sparse_set.hpp
      • File view_vector.hpp
      • File view_vector_binned.hpp
      • File view_vector_bit.hpp
      • File view_vector_composite.hpp
      • File view_vector_compressed.hpp
      • File view_vector_indexed.hpp
      • File view_vector_sparse_set.hpp
      • File weight_sampling.hpp
      • File weight_vector.hpp
      • File weight_vector_bit.hpp
      • File weight_vector_dense.hpp
      • File weight_vector_equal.hpp
      • File weight_vector_out_of_sample.hpp
    • Library libmlrlboosting
      • File blas.hpp
      • File default_rule_auto.hpp
      • File discretization_function.hpp
      • File discretization_function_probability.hpp
      • File discretization_function_score.hpp
      • File dll_exports.hpp
      • File feature_binning_auto.hpp
      • File head_type.hpp
      • File head_type_auto.hpp
      • File head_type_complete.hpp
      • File head_type_partial_dynamic.hpp
      • File head_type_partial_fixed.hpp
      • File head_type_single.hpp
      • File iterator_diagonal.hpp
      • File label_binning.hpp
      • File label_binning_auto.hpp
      • File label_binning_equal_width.hpp
      • File label_binning_no.hpp
      • File lapack.hpp
      • File learner.hpp
      • File learner_boomer_classifier.hpp
      • File learner_boomer_regressor.hpp
      • File learner_classification.hpp
      • File learner_common.hpp
      • File library_info.hpp
      • File loss.hpp
      • File loss_decomposable.hpp
      • File loss_decomposable_logistic.hpp
      • File loss_decomposable_sparse.hpp
      • File loss_decomposable_squared_error.hpp
      • File loss_decomposable_squared_hinge.hpp
      • File loss_non_decomposable.hpp
      • File loss_non_decomposable_logistic.hpp
      • File loss_non_decomposable_squared_error.hpp
      • File loss_non_decomposable_squared_hinge.hpp
      • File math.hpp
      • File matrix_c_contiguous_numeric.hpp
      • File matrix_sparse_set_numeric.hpp
      • File parallel_rule_refinement_auto.hpp
      • File parallel_statistic_update_auto.hpp
      • File partition_sampling_auto.hpp
      • File predictor_binary_auto.hpp
      • File predictor_binary_common.hpp
      • File predictor_binary_example_wise.hpp
      • File predictor_binary_gfm.hpp
      • File predictor_binary_output_wise.hpp
      • File predictor_probability_auto.hpp
      • File predictor_probability_common.hpp
      • File predictor_probability_marginalized.hpp
      • File predictor_probability_output_wise.hpp
      • File predictor_score_common.hpp
      • File predictor_score_output_wise.hpp
      • File probability_calibration_isotonic.hpp
      • File probability_function_chain_rule.hpp
      • File probability_function_joint.hpp
      • File probability_function_logistic.hpp
      • File probability_function_marginal.hpp
      • File regularization.hpp
      • File regularization_manual.hpp
      • File regularization_no.hpp
      • File rule_compare_function.hpp
      • File rule_evaluation.hpp
      • File rule_evaluation_decomposable.hpp
      • File rule_evaluation_decomposable_complete.hpp
      • File rule_evaluation_decomposable_complete_binned.hpp
      • File rule_evaluation_decomposable_partial_dynamic.hpp
      • File rule_evaluation_decomposable_partial_dynamic_binned.hpp
      • File rule_evaluation_decomposable_partial_fixed.hpp
      • File rule_evaluation_decomposable_partial_fixed_binned.hpp
      • File rule_evaluation_decomposable_single.hpp
      • File rule_evaluation_decomposable_sparse.hpp
      • File rule_evaluation_non_decomposable.hpp
      • File rule_evaluation_non_decomposable_complete.hpp
      • File rule_evaluation_non_decomposable_complete_binned.hpp
      • File rule_evaluation_non_decomposable_partial_dynamic.hpp
      • File rule_evaluation_non_decomposable_partial_dynamic_binned.hpp
      • File rule_evaluation_non_decomposable_partial_fixed.hpp
      • File rule_evaluation_non_decomposable_partial_fixed_binned.hpp
      • File rule_list_builder.hpp
      • File shrinkage_constant.hpp
      • File statistic.hpp
      • File statistic_format.hpp
      • File statistic_format_auto.hpp
      • File statistic_format_dense.hpp
      • File statistic_format_sparse.hpp
      • File statistic_type.hpp
      • File statistic_type_float32.hpp
      • File statistic_type_float64.hpp
      • File statistics.hpp
      • File statistics_decomposable.hpp
      • File statistics_non_decomposable.hpp
      • File statistics_provider_decomposable_dense.hpp
      • File statistics_provider_decomposable_sparse.hpp
      • File statistics_provider_non_decomposable_dense.hpp
      • File transformation_binary.hpp
      • File transformation_binary_example_wise.hpp
      • File transformation_binary_gfm.hpp
      • File transformation_binary_output_wise.hpp
      • File transformation_probability.hpp
      • File transformation_probability_marginalized.hpp
      • File transformation_probability_output_wise.hpp
      • File vector_statistic_decomposable_dense.hpp
      • File vector_statistic_decomposable_sparse.hpp
      • File vector_statistic_non_decomposable_dense.hpp
      • File view_statistic_non_decomposable_dense.hpp
    • Library libmlrlseco
      • File confusion_matrix.hpp
      • File decision_list_builder.hpp
      • File dll_exports.hpp
      • File head_type.hpp
      • File head_type_partial.hpp
      • File head_type_single.hpp
      • File heuristic.hpp
      • File heuristic_accuracy.hpp
      • File heuristic_f_measure.hpp
      • File heuristic_laplace.hpp
      • File heuristic_m_estimate.hpp
      • File heuristic_precision.hpp
      • File heuristic_recall.hpp
      • File heuristic_wra.hpp
      • File learner.hpp
      • File learner_common.hpp
      • File learner_seco_classifier.hpp
      • File library_info.hpp
      • File lift_function.hpp
      • File lift_function_kln.hpp
      • File lift_function_no.hpp
      • File lift_function_peak.hpp
      • File matrix_coverage_dense.hpp
      • File matrix_statistic_decomposable_dense.hpp
      • File predictor_binary_output_wise.hpp
      • File rule_compare_function.hpp
      • File rule_evaluation.hpp
      • File rule_evaluation_decomposable.hpp
      • File rule_evaluation_decomposable_partial.hpp
      • File rule_evaluation_decomposable_single.hpp
      • File statistics.hpp
      • File statistics_decomposable.hpp
      • File statistics_provider_decomposable_dense.hpp
      • File stopping_criterion_coverage.hpp
      • File vector_confusion_matrix_dense.hpp

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mlrl.testbed.experiments.output.model.model module¶

Author: Michael Rapp (michael.rapp.ml@gmail.com)

Provides classes for representing models that are part of output data.

class mlrl.testbed.experiments.output.model.model.OutputModel(learner: Any)¶

Bases: ObjectOutputData

Represents a model.

to_object(options: Options, **kwargs) → Any | None¶

See mlrl.testbed.experiments.output.data.ObjectOutputData.to_object()

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  • mlrl.testbed.experiments.output.model.model module
    • OutputModel
      • OutputModel.to_object()