mlrl.boosting package

This module provides multi-label 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
      • AutomaticBinaryPredictorMixin
      • AutomaticDefaultRuleMixin
      • AutomaticFeatureBinningMixin
      • AutomaticHeadMixin
      • AutomaticLabelBinningMixin
      • AutomaticParallelRuleRefinementMixin
      • AutomaticParallelStatisticUpdateMixin
      • AutomaticPartitionSamplingMixin
      • AutomaticProbabilityPredictorMixin
      • AutomaticStatisticsMixin
      • CompleteHeadMixin
      • ConstantShrinkageMixin
      • DenseStatisticsMixin
      • DynamicPartialHeadMixin
      • EqualWidthLabelBinningMixin
      • ExampleWiseBinaryPredictorMixin
      • ExampleWiseLogisticLossMixin
      • ExampleWiseSquaredErrorLossMixin
      • ExampleWiseSquaredHingeLossMixin
      • FixedPartialHeadMixin
      • GfmBinaryPredictorMixin
      • IsotonicJointProbabilityCalibrationMixin
      • IsotonicMarginalProbabilityCalibrationMixin
      • L1RegularizationMixin
      • L2RegularizationMixin
      • LabelWiseBinaryPredictorMixin
      • LabelWiseLogisticLossMixin
      • LabelWiseProbabilityPredictorMixin
      • LabelWiseScorePredictorMixin
      • LabelWiseSquaredErrorLossMixin
      • LabelWiseSquaredHingeLossMixin
      • MarginalizedProbabilityPredictorMixin
      • NoDefaultRuleMixin
      • NoL1RegularizationMixin
      • NoL2RegularizationMixin
      • NoLabelBinningMixin
      • SingleLabelHeadMixin
      • SparseStatisticsMixin
    • mlrl.boosting.cython.learner_boomer module
      • Boomer
      • BoomerConfig
    • mlrl.boosting.cython.post_processor module
      • ConstantShrinkageConfig
    • mlrl.boosting.cython.prediction module
      • ExampleWiseBinaryPredictorConfig
      • GfmBinaryPredictorConfig
      • LabelWiseBinaryPredictorConfig
      • LabelWiseProbabilityPredictorConfig
      • MarginalizedProbabilityPredictorConfig
    • mlrl.boosting.cython.probability_calibration module
      • IsotonicJointProbabilityCalibratorConfig
      • IsotonicMarginalProbabilityCalibratorConfig
    • mlrl.boosting.cython.regularization module
      • ManualRegularizationConfig

Submodules

• mlrl.boosting.boosting_learners module
  • Boomer
    • Boomer.set_fit_request()
    • Boomer.set_predict_proba_request()
    • Boomer.set_predict_request()
    • Boomer.set_score_request()
• mlrl.boosting.config module
  • BinaryPredictorParameter
    • BinaryPredictorParameter.BINARY_PREDICTOR_EXAMPLE_WISE
    • BinaryPredictorParameter.BINARY_PREDICTOR_GFM
    • BinaryPredictorParameter.BINARY_PREDICTOR_LABEL_WISE
  • 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_LABEL_RATIO
    • HeadTypeParameter.OPTION_MAX_LABELS
    • HeadTypeParameter.OPTION_MIN_LABELS
    • HeadTypeParameter.OPTION_THRESHOLD
  • JointProbabilityCalibrationParameter
  • L1RegularizationParameter
  • L2RegularizationParameter
  • LabelBinningParameter
  • LossParameter
    • LossParameter.LOSS_LOGISTIC_EXAMPLE_WISE
    • LossParameter.LOSS_LOGISTIC_LABEL_WISE
    • LossParameter.LOSS_SQUARED_ERROR_EXAMPLE_WISE
    • LossParameter.LOSS_SQUARED_ERROR_LABEL_WISE
    • LossParameter.LOSS_SQUARED_HINGE_EXAMPLE_WISE
    • LossParameter.LOSS_SQUARED_HINGE_LABEL_WISE
  • MarginalProbabilityCalibrationParameter
  • ProbabilityPredictorParameter
    • ProbabilityPredictorParameter.PROBABILITY_PREDICTOR_LABEL_WISE
    • ProbabilityPredictorParameter.PROBABILITY_PREDICTOR_MARGINALIZED
  • ShrinkageParameter
  • StatisticFormatParameter
    • StatisticFormatParameter.STATISTIC_FORMAT_DENSE
    • StatisticFormatParameter.STATISTIC_FORMAT_SPARSE
• mlrl.boosting.info module
  • get_package_info()