mlrl.testbed_sklearn package

This module adds support for tabular machine learning problems to the package “mlrl-testbed” by making use of the scikit-learn framework.

mlrl.testbed_sklearn.Runnable

alias of SkLearnEstimatorRunnable

Subpackages

• mlrl.testbed_sklearn.experiments package
  • SkLearnClassificationProblem
    • SkLearnClassificationProblem.feature_dtype
    • SkLearnClassificationProblem.output_dtype
  • SkLearnExperiment
    • SkLearnExperiment.Builder
    • SkLearnExperiment.PredictionProcedure
      • SkLearnExperiment.PredictionProcedure.predict()
    • SkLearnExperiment.TrainingProcedure
      • SkLearnExperiment.TrainingProcedure.train()
  • SkLearnProblem
    • SkLearnProblem.PredictorFactory
      • SkLearnProblem.PredictorFactory.create()
    • SkLearnProblem.feature_dtype
    • SkLearnProblem.learner_name
    • SkLearnProblem.output_dtype
  • SkLearnRegressionProblem
    • SkLearnRegressionProblem.feature_dtype
    • SkLearnRegressionProblem.output_dtype
  • Subpackages
    • mlrl.testbed_sklearn.experiments.input package
      • Subpackages
    • mlrl.testbed_sklearn.experiments.output package
      • Subpackages
    • mlrl.testbed_sklearn.experiments.prediction package
      • GlobalPredictor
      • Predictor
      • Submodules
  • Submodules
    • mlrl.testbed_sklearn.experiments.dataset module
      • Attribute
      • AttributeType
      • TabularDataset
    • mlrl.testbed_sklearn.experiments.experiment module
      • SkLearnExperiment
    • mlrl.testbed_sklearn.experiments.problem_domain module
      • SkLearnClassificationProblem
      • SkLearnProblem
      • SkLearnRegressionProblem

Submodules

• mlrl.testbed_sklearn.runnables module
  • SkLearnEstimatorRunnable
    • SkLearnEstimatorRunnable.EstimatorExtension
      • SkLearnEstimatorRunnable.EstimatorExtension.create_estimator_argument()
      • SkLearnEstimatorRunnable.EstimatorExtension.create_meta_estimator_argument()
      • SkLearnEstimatorRunnable.EstimatorExtension.get_supported_modes()
    • SkLearnEstimatorRunnable.create_classifier()
    • SkLearnEstimatorRunnable.create_regressor()
    • SkLearnEstimatorRunnable.get_algorithmic_arguments()
    • SkLearnEstimatorRunnable.get_extensions()
  • SkLearnRunnable
    • SkLearnRunnable.BatchConfigFile
      • SkLearnRunnable.BatchConfigFile.dataset_args
    • SkLearnRunnable.GlobalPredictorFactory
      • SkLearnRunnable.GlobalPredictorFactory.create()
    • SkLearnRunnable.ProblemDomainExtension
      • SkLearnRunnable.ProblemDomainExtension.PROBLEM_TYPE
      • SkLearnRunnable.ProblemDomainExtension.get_problem_domain()
      • SkLearnRunnable.ProblemDomainExtension.get_supported_modes()
    • SkLearnRunnable.create_batch_config_file_factory()
    • SkLearnRunnable.create_classifier()
    • SkLearnRunnable.create_dataset_splitter()
    • SkLearnRunnable.create_experiment_builder()
    • SkLearnRunnable.create_predictor_factory()
    • SkLearnRunnable.create_problem_domain()
    • SkLearnRunnable.create_regressor()
    • SkLearnRunnable.get_extensions()
  • SklearnEstimator
    • SklearnEstimator.SklearnArgument
      • SklearnEstimator.SklearnArgument.from_type_name()
      • SklearnEstimator.SklearnArgument.get_value()
    • SklearnEstimator.algorithmic_arguments
    • SklearnEstimator.can_be_default_instantiated
    • SklearnEstimator.can_be_instantiated_with_estimator
    • SklearnEstimator.get_supported_classifiers()
    • SklearnEstimator.get_supported_meta_classifiers()
    • SklearnEstimator.get_supported_meta_regressors()
    • SklearnEstimator.get_supported_regressors()
    • SklearnEstimator.instantiate()
    • SklearnEstimator.is_classifier
    • SklearnEstimator.is_meta_estimator
    • SklearnEstimator.is_regressor