mlrl.testbed package

Subpackages

• mlrl.testbed.experiments package
  • ClassificationProblem
    • ClassificationProblem.NAME
    • ClassificationProblem.problem_name
  • Experiment
    • Experiment.Builder
      • Experiment.Builder.Factory
      • Experiment.Builder.add_before_start_output_writers()
      • Experiment.Builder.add_input_readers()
      • Experiment.Builder.add_listeners()
      • Experiment.Builder.add_post_training_output_writers()
      • Experiment.Builder.add_pre_training_output_writers()
      • Experiment.Builder.add_prediction_output_writers()
      • Experiment.Builder.build()
      • Experiment.Builder.has_output_file_writers
      • Experiment.Builder.output_writers
      • Experiment.Builder.run()
      • Experiment.Builder.set_missing_input_policy()
      • Experiment.Builder.set_output_error_policy()
      • Experiment.Builder.set_predict_for_test_dataset()
      • Experiment.Builder.set_predict_for_training_dataset()
    • Experiment.InputReaderListener
      • Experiment.InputReaderListener.on_start()
    • Experiment.OutputWriterListener
      • Experiment.OutputWriterListener.after_prediction()
      • Experiment.OutputWriterListener.after_training()
      • Experiment.OutputWriterListener.before_start()
      • Experiment.OutputWriterListener.before_training()
    • Experiment.PredictionProcedure
      • Experiment.PredictionProcedure.predict()
    • Experiment.TrainingProcedure
      • Experiment.TrainingProcedure.train()
  • ProblemDomain
    • ProblemDomain.learner_name
    • ProblemDomain.problem_name
  • RegressionProblem
    • RegressionProblem.NAME
    • RegressionProblem.problem_name
  • Subpackages
    • mlrl.testbed.experiments.input package
      • Subpackages
      • Submodules
    • mlrl.testbed.experiments.output package
      • Subpackages
      • Submodules
  • Submodules
    • mlrl.testbed.experiments.context module
      • Context
    • mlrl.testbed.experiments.data module
      • Properties
      • TabularProperties
    • mlrl.testbed.experiments.dataset module
    • mlrl.testbed.experiments.dataset_type module
      • DatasetType
    • mlrl.testbed.experiments.experiment module
      • DefaultProcedure
      • Experiment
      • ExperimentListener
      • ExperimentalProcedure
    • mlrl.testbed.experiments.file_path module
      • FilePath
    • mlrl.testbed.experiments.fold module
      • Fold
      • FoldingStrategy
    • mlrl.testbed.experiments.meta_data module
      • MetaData
    • mlrl.testbed.experiments.prediction_scope module
      • GlobalPredictionScope
      • IncrementalPredictionScope
      • PredictionScope
    • mlrl.testbed.experiments.prediction_type module
      • PredictionType
    • mlrl.testbed.experiments.problem_domain module
      • ClassificationProblem
      • ProblemDomain
      • RegressionProblem
    • mlrl.testbed.experiments.recipe module
      • Recipe
    • mlrl.testbed.experiments.state module
      • ExperimentMode
      • ExperimentState
      • PredictionResult
      • PredictionState
      • TrainingState
    • mlrl.testbed.experiments.table module
      • Alignment
      • Column
      • ColumnWiseTable
      • HeaderRow
      • Row
      • RowWiseTable
      • Table
    • mlrl.testbed.experiments.timer module
      • Timer
• mlrl.testbed.extensions package
  • Extension
    • Extension.configure_batch_mode()
    • Extension.configure_experiment()
    • Extension.configure_read_mode()
    • Extension.configure_run_mode()
    • Extension.get_arguments()
    • Extension.get_dependencies()
    • Extension.get_supported_modes()
    • Extension.is_mode_supported()
  • NopExtension
    • NopExtension.get_supported_modes()
  • Submodules
    • mlrl.testbed.extensions.extension module
      • Extension
      • NopExtension
• mlrl.testbed.modes package
  • BatchMode
    • BatchMode.ARGUMENT_RUNNER
    • BatchMode.CONFIG_FILE
    • BatchMode.ConfigFile
      • BatchMode.ConfigFile.DefaultArgument
      • BatchMode.ConfigFile.Factory
      • BatchMode.ConfigFile.Parameter
      • BatchMode.ConfigFile.ParameterValue
      • BatchMode.ConfigFile.dataset_args
      • BatchMode.ConfigFile.default_arguments
      • BatchMode.ConfigFile.parameter_args
      • BatchMode.ConfigFile.parameters
    • BatchMode.LIST_COMMANDS
    • BatchMode.LogRunner
      • BatchMode.LogRunner.run_batch()
    • BatchMode.Runner
      • BatchMode.Runner.run_batch()
    • BatchMode.SEPARATE_FOLDS
    • BatchMode.SequentialRunner
      • BatchMode.SequentialRunner.run_batch()
    • BatchMode.add_runner()
    • BatchMode.configure_algorithmic_arguments()
    • BatchMode.configure_control_arguments()
    • BatchMode.run_experiment()
    • BatchMode.runners
    • BatchMode.to_enum()
  • Mode
    • Mode.MODE
    • Mode.configure_algorithmic_arguments()
    • Mode.configure_control_arguments()
    • Mode.run_experiment()
    • Mode.to_enum()
  • ReadMode
    • ReadMode.AggregateEvaluationProcedure
    • ReadMode.to_enum()
  • RunMode
    • RunMode.to_enum()
  • SingleMode
    • SingleMode.configure_algorithmic_arguments()
    • SingleMode.configure_control_arguments()
    • SingleMode.run_experiment()
    • SingleMode.to_enum()
  • Submodules
    • mlrl.testbed.modes.mode module
      • InputMode
      • Mode
    • mlrl.testbed.modes.mode_batch module
      • BatchMode
    • mlrl.testbed.modes.mode_read module
      • ReadMode
    • mlrl.testbed.modes.mode_run module
      • RunMode
    • mlrl.testbed.modes.mode_single module
      • SingleMode
    • mlrl.testbed.modes.util module
      • OutputUtil
• mlrl.testbed.util package
  • Submodules
    • mlrl.testbed.util.format module
      • format_number()
      • format_percentage()
      • parse_number()
      • parse_value()
      • to_int_or_float()
    • mlrl.testbed.util.io module
      • open_readable_file()
      • open_writable_file()
    • mlrl.testbed.util.math module
      • divide_or_zero()
    • mlrl.testbed.util.yml module
      • read_and_validate_yaml()
      • read_yaml()

Submodules

• mlrl.testbed.arguments module
  • PredictionDatasetArguments
    • PredictionDatasetArguments.PREDICT_FOR_TEST_DATA
    • PredictionDatasetArguments.PREDICT_FOR_TRAINING_DATA
• mlrl.testbed.command module
  • ArgumentDict
    • ArgumentDict.to_list()
  • ArgumentList
    • ArgumentList.filter()
    • ArgumentList.to_dict()
  • Command
    • Command.apply_to_namespace()
    • Command.argument_dict
    • Command.argument_list
    • Command.from_argv()
    • Command.from_dict()
    • Command.from_list()
    • Command.from_string()
    • Command.module_name
    • Command.to_namespace()
    • Command.with_argument()
• mlrl.testbed.main module
  • LogLevel
    • LogLevel.CRITICAL
    • LogLevel.DEBUG
    • LogLevel.ERROR
    • LogLevel.FATAL
    • LogLevel.INFO
    • LogLevel.NOTSET
    • LogLevel.WARN
    • LogLevel.WARNING
  • main()
• mlrl.testbed.program_info module
  • ProgramInfo
    • ProgramInfo.authors
    • ProgramInfo.name
    • ProgramInfo.version
    • ProgramInfo.year
• mlrl.testbed.runnables module
  • Runnable
    • Runnable.PredictionDatasetExtension
      • Runnable.PredictionDatasetExtension.configure_experiment()
      • Runnable.PredictionDatasetExtension.get_supported_modes()
    • Runnable.configure_arguments()
    • Runnable.configure_batch_mode()
    • Runnable.configure_read_mode()
    • Runnable.configure_run_mode()
    • Runnable.create_batch_config_file_factory()
    • Runnable.get_algorithmic_arguments()
    • Runnable.get_extensions()
    • Runnable.get_program_info()
    • Runnable.get_supported_extensions()
    • Runnable.run()