mlrl.boosting package

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

mlrl.boosting.Runnable

alias of BoomerRunnable

Subpackages

• mlrl.boosting.config package
  • Submodules
    • mlrl.boosting.config.parameters module
      • BinaryPredictorParameter
      • ClassificationLossParameter
      • DefaultRuleParameter
      • ExtendedFeatureBinningParameter
      • ExtendedParallelRuleRefinementParameter
      • ExtendedParallelStatisticUpdateParameter
      • ExtendedPartitionSamplingParameter
      • HeadTypeParameter
      • JointProbabilityCalibrationParameter
      • L1RegularizationParameter
      • L2RegularizationParameter
      • LabelBinningParameter
      • MarginalProbabilityCalibrationParameter
      • ProbabilityPredictorParameter
      • RegressionLossParameter
      • ShrinkageParameter
      • StatisticFormatParameter
      • StatisticTypeParameter
• mlrl.boosting.cython package
  • Submodules
    • mlrl.boosting.cython.head_type module
      • DynamicPartialHeadConfig
      • FixedPartialHeadConfig
    • mlrl.boosting.cython.label_binning module
      • EqualWidthLabelBinningConfig
    • mlrl.boosting.cython.learner module
      • AutomaticFeatureBinningMixin
      • AutomaticHeadMixin
      • AutomaticParallelRuleRefinementMixin
      • AutomaticParallelStatisticUpdateMixin
      • CompleteHeadMixin
      • ConstantShrinkageMixin
      • DecomposableSquaredErrorLossMixin
      • DynamicPartialHeadMixin
      • FixedPartialHeadMixin
      • Float32StatisticsMixin
      • Float64StatisticsMixin
      • 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.package_info module
      • get_cpp_library_info()
    • 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
• mlrl.boosting.testbed package
  • Subpackages
    • mlrl.boosting.testbed.experiments package
      • Subpackages
  • Submodules
    • mlrl.boosting.testbed.runnables module
      • BoomerRunnable

Submodules

• mlrl.boosting.learners module
  • BoomerClassifier
  • BoomerRegressor
• mlrl.boosting.package_info module
  • get_package_info()