mlrl.testbed.experiments package

Author Michael Rapp (michael.rapp.ml@gmail.com)

Provides classes that allow running experiments.

Subpackages

• mlrl.testbed.experiments.input package
  • Subpackages
    • mlrl.testbed.experiments.input.dataset package
      • Subpackages
      • Submodules
    • mlrl.testbed.experiments.input.model package
      • Submodules
    • mlrl.testbed.experiments.input.parameters package
      • Submodules
    • mlrl.testbed.experiments.input.sources package
      • Submodules
  • Submodules
    • mlrl.testbed.experiments.input.data module
      • DatasetInputData
      • InputData
      • TabularInputData
    • mlrl.testbed.experiments.input.reader module
      • InputReader
• mlrl.testbed.experiments.output package
  • Subpackages
    • mlrl.testbed.experiments.output.dataset package
      • Submodules
    • mlrl.testbed.experiments.output.evaluation package
      • Submodules
    • mlrl.testbed.experiments.output.meta_data package
      • Submodules
    • mlrl.testbed.experiments.output.model package
      • Submodules
    • mlrl.testbed.experiments.output.parameters package
      • Submodules
    • mlrl.testbed.experiments.output.sinks package
      • Submodules
  • Submodules
    • mlrl.testbed.experiments.output.arguments module
      • OutputArguments
      • ResultDirectoryArguments
    • mlrl.testbed.experiments.output.data module
      • DatasetOutputData
      • ObjectOutputData
      • OutputData
      • OutputValue
      • StructuralOutputData
      • TabularOutputData
      • TextualOutputData
    • mlrl.testbed.experiments.output.extension module
      • OutputExtension
      • ResultDirectoryExtension
    • mlrl.testbed.experiments.output.writer module
      • DataExtractor
      • OutputWriter

Submodules

• mlrl.testbed.experiments.context module
  • Context
    • Context.include_dataset_type
    • Context.include_fold
    • Context.include_prediction_scope
• mlrl.testbed.experiments.dataset module
• mlrl.testbed.experiments.dataset_type module
  • DatasetType
    • DatasetType.TEST
    • DatasetType.TRAINING
• mlrl.testbed.experiments.experiment module
  • 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_exit_on_error()
      • Experiment.Builder.set_predict_for_test_dataset()
      • Experiment.Builder.set_predict_for_training_dataset()
    • Experiment.InputReaderListener
      • Experiment.InputReaderListener.on_start()
    • Experiment.Listener
      • Experiment.Listener.after_prediction()
      • Experiment.Listener.after_training()
      • Experiment.Listener.before_start()
      • Experiment.Listener.before_training()
      • Experiment.Listener.on_start()
    • Experiment.OutputWriterListener
      • Experiment.OutputWriterListener.after_prediction()
      • Experiment.OutputWriterListener.after_training()
      • Experiment.OutputWriterListener.before_start()
      • Experiment.OutputWriterListener.before_training()
    • Experiment.run()
• mlrl.testbed.experiments.file_path module
  • FilePath
    • FilePath.resolve()
• mlrl.testbed.experiments.fold module
  • Fold
    • Fold.index
  • FoldingStrategy
    • FoldingStrategy.first
    • FoldingStrategy.folds
    • FoldingStrategy.is_cross_validation_used
    • FoldingStrategy.is_last_fold()
    • FoldingStrategy.is_subset
    • FoldingStrategy.last
    • FoldingStrategy.num_folds
    • FoldingStrategy.num_folds_in_subset
• mlrl.testbed.experiments.meta_data module
  • MetaData
    • MetaData.child_commands
    • MetaData.command
    • MetaData.formatted_timestamp
    • MetaData.timestamp
    • MetaData.version
• mlrl.testbed.experiments.prediction_scope module
  • PredictionScope
    • PredictionScope.is_global
    • PredictionScope.model_size
• mlrl.testbed.experiments.prediction_type module
  • PredictionType
    • PredictionType.BINARY
    • PredictionType.PROBABILITIES
    • PredictionType.SCORES
• mlrl.testbed.experiments.problem_domain module
  • ClassificationProblem
    • ClassificationProblem.NAME
    • ClassificationProblem.problem_name
  • ProblemDomain
    • ProblemDomain.learner_name
    • ProblemDomain.problem_name
  • RegressionProblem
    • RegressionProblem.NAME
    • RegressionProblem.problem_name
• mlrl.testbed.experiments.recipe module
  • Recipe
    • Recipe.create_dataset_splitter()
    • Recipe.create_experiment_builder()
    • Recipe.create_problem_domain()
• mlrl.testbed.experiments.state module
  • ExperimentState
    • ExperimentState.dataset
    • ExperimentState.dataset_as()
    • ExperimentState.dataset_type
    • ExperimentState.fold
    • ExperimentState.folding_strategy
    • ExperimentState.learner_as()
    • ExperimentState.meta_data
    • ExperimentState.parameters
    • ExperimentState.prediction_result
    • ExperimentState.problem_domain
    • ExperimentState.training_result
  • PredictionState
    • PredictionState.prediction_duration
    • PredictionState.prediction_scope
    • PredictionState.prediction_type
    • PredictionState.predictions
  • TrainingState
    • TrainingState.learner
    • TrainingState.training_duration
• mlrl.testbed.experiments.table module
  • Alignment
    • Alignment.AUTO
    • Alignment.CENTER
    • Alignment.LEFT
    • Alignment.RIGHT
  • Column
    • Column.header
    • Column.num_rows
  • ColumnWiseTable
    • ColumnWiseTable.Column
      • ColumnWiseTable.Column.header
      • ColumnWiseTable.Column.num_rows
    • ColumnWiseTable.HeaderRow
      • ColumnWiseTable.HeaderRow.num_columns
    • ColumnWiseTable.Row
      • ColumnWiseTable.Row.num_columns
    • ColumnWiseTable.add_column()
    • ColumnWiseTable.alignments
    • ColumnWiseTable.columns
    • ColumnWiseTable.header_row
    • ColumnWiseTable.num_columns
    • ColumnWiseTable.num_rows
    • ColumnWiseTable.rows
    • ColumnWiseTable.sort_by_headers()
    • ColumnWiseTable.to_column_wise_table()
    • ColumnWiseTable.to_row_wise_table()
  • HeaderRow
    • HeaderRow.num_columns
  • Row
    • Row.num_columns
  • RowWiseTable
    • RowWiseTable.Column
      • RowWiseTable.Column.header
      • RowWiseTable.Column.num_rows
    • RowWiseTable.HeaderRow
      • RowWiseTable.HeaderRow.num_columns
    • RowWiseTable.Row
      • RowWiseTable.Row.num_columns
    • RowWiseTable.add_row()
    • RowWiseTable.alignments
    • RowWiseTable.columns
    • RowWiseTable.header_row
    • RowWiseTable.num_columns
    • RowWiseTable.num_rows
    • RowWiseTable.rows
    • RowWiseTable.sort_by_columns()
    • RowWiseTable.to_column_wise_table()
    • RowWiseTable.to_row_wise_table()
  • Table
    • Table.alignments
    • Table.columns
    • Table.format()
    • Table.has_headers
    • Table.header_row
    • Table.num_cells
    • Table.num_columns
    • Table.num_rows
    • Table.rows
    • Table.to_column_wise_table()
    • Table.to_row_wise_table()
• mlrl.testbed.experiments.timer module
  • Timer
    • Timer.Duration
      • Timer.Duration.value
    • Timer.Time
      • Timer.Time.time
    • Timer.start()
    • Timer.stop()