mlrl.boosting package

This module provides rule learners that make using of the gradient boosting framework.

Subpackages

• mlrl.boosting.cython package
  • Submodules
    • mlrl.boosting.cython.head_type module
      • DynamicPartialHeadConfig
      • FixedPartialHeadConfig
    • mlrl.boosting.cython.info module
      • get_cpp_library_info()
    • mlrl.boosting.cython.label_binning module
      • EqualWidthLabelBinningConfig
    • mlrl.boosting.cython.learner module
      • AutomaticFeatureBinningMixin
      • AutomaticHeadMixin
      • AutomaticParallelRuleRefinementMixin
      • AutomaticParallelStatisticUpdateMixin
      • CompleteHeadMixin
      • ConstantShrinkageMixin
      • DecomposableSquaredErrorLossMixin
      • DynamicPartialHeadMixin
      • FixedPartialHeadMixin
      • L1RegularizationMixin
      • L2RegularizationMixin
      • NoL1RegularizationMixin
      • NoL2RegularizationMixin
      • NonDecomposableSquaredErrorLossMixin
      • OutputWiseScorePredictorMixin
      • SingleOutputHeadMixin
    • mlrl.boosting.cython.learner_boomer module
      • BoomerClassifier
      • BoomerClassifierConfig
      • BoomerRegressor
      • BoomerRegressorConfig
    • mlrl.boosting.cython.learner_classification module
      • AutomaticBinaryPredictorMixin
      • AutomaticDefaultRuleMixin
      • AutomaticLabelBinningMixin
      • AutomaticPartitionSamplingMixin
      • AutomaticProbabilityPredictorMixin
      • AutomaticStatisticsMixin
      • DecomposableLogisticLossMixin
      • DecomposableSquaredHingeLossMixin
      • DenseStatisticsMixin
      • EqualWidthLabelBinningMixin
      • ExampleWiseBinaryPredictorMixin
      • GfmBinaryPredictorMixin
      • IsotonicJointProbabilityCalibrationMixin
      • IsotonicMarginalProbabilityCalibrationMixin
      • MarginalizedProbabilityPredictorMixin
      • NoDefaultRuleMixin
      • NoLabelBinningMixin
      • NonDecomposableLogisticLossMixin
      • NonDecomposableSquaredHingeLossMixin
      • OutputWiseBinaryPredictorMixin
      • OutputWiseProbabilityPredictorMixin
      • SparseStatisticsMixin
    • mlrl.boosting.cython.post_processor module
      • ConstantShrinkageConfig
    • mlrl.boosting.cython.prediction module
      • ExampleWiseBinaryPredictorConfig
      • GfmBinaryPredictorConfig
      • MarginalizedProbabilityPredictorConfig
      • OutputWiseBinaryPredictorConfig
      • OutputWiseProbabilityPredictorConfig
    • mlrl.boosting.cython.probability_calibration module
      • IsotonicJointProbabilityCalibratorConfig
      • IsotonicMarginalProbabilityCalibratorConfig
    • mlrl.boosting.cython.regularization module
      • ManualRegularizationConfig

Submodules

• mlrl.boosting.boosting_learners module
  • BoomerClassifier
    • BoomerClassifier.set_fit_request()
    • BoomerClassifier.set_predict_proba_request()
    • BoomerClassifier.set_predict_request()
    • BoomerClassifier.set_score_request()
  • BoomerRegressor
    • BoomerRegressor.set_fit_request()
    • BoomerRegressor.set_predict_request()
    • BoomerRegressor.set_score_request()
• mlrl.boosting.config module
  • BinaryPredictorParameter
    • BinaryPredictorParameter.BINARY_PREDICTOR_EXAMPLE_WISE
    • BinaryPredictorParameter.BINARY_PREDICTOR_GFM
    • BinaryPredictorParameter.BINARY_PREDICTOR_OUTPUT_WISE
  • ClassificationLossParameter
    • ClassificationLossParameter.LOSS_LOGISTIC_DECOMPOSABLE
    • ClassificationLossParameter.LOSS_LOGISTIC_NON_DECOMPOSABLE
    • ClassificationLossParameter.LOSS_SQUARED_HINGE_DECOMPOSABLE
    • ClassificationLossParameter.LOSS_SQUARED_HINGE_NON_DECOMPOSABLE
  • DefaultRuleParameter
  • ExtendedFeatureBinningParameter
  • ExtendedParallelRuleRefinementParameter
  • ExtendedParallelStatisticUpdateParameter
  • ExtendedPartitionSamplingParameter
  • HeadTypeParameter
    • HeadTypeParameter.HEAD_TYPE_COMPLETE
    • HeadTypeParameter.HEAD_TYPE_PARTIAL_DYNAMIC
    • HeadTypeParameter.HEAD_TYPE_PARTIAL_FIXED
    • HeadTypeParameter.HEAD_TYPE_SINGLE
    • HeadTypeParameter.OPTION_EXPONENT
    • HeadTypeParameter.OPTION_MAX_OUTPUTS
    • HeadTypeParameter.OPTION_MIN_OUTPUTS
    • HeadTypeParameter.OPTION_OUTPUT_RATIO
    • HeadTypeParameter.OPTION_THRESHOLD
  • JointProbabilityCalibrationParameter
  • L1RegularizationParameter
  • L2RegularizationParameter
  • LabelBinningParameter
  • MarginalProbabilityCalibrationParameter
  • ProbabilityPredictorParameter
    • ProbabilityPredictorParameter.PROBABILITY_PREDICTOR_MARGINALIZED
    • ProbabilityPredictorParameter.PROBABILITY_PREDICTOR_OUTPUT_WISE
  • RegressionLossParameter
    • RegressionLossParameter.LOSS_SQUARED_ERROR_DECOMPOSABLE
    • RegressionLossParameter.LOSS_SQUARED_ERROR_NON_DECOMPOSABLE
  • ShrinkageParameter
  • StatisticFormatParameter
    • StatisticFormatParameter.STATISTIC_FORMAT_DENSE
    • StatisticFormatParameter.STATISTIC_FORMAT_SPARSE
• mlrl.boosting.info module
  • get_package_info()
• mlrl.boosting.runnables module
  • BoomerRunnable
    • BoomerRunnable.get_program_info()