mlrl.testbed_sklearn.experiments.output.evaluation package¶
Author Michael Rapp (michael.rapp.ml@gmail.com)
Provides classes that allow to write evaluation results to different sinks.
Submodules¶
- mlrl.testbed_sklearn.experiments.output.evaluation.evaluation_result module
EvaluationResultEvaluationResult.KWARG_FOLDEvaluationResult.OPTION_ACCURACYEvaluationResult.OPTION_COVERAGE_ERROREvaluationResult.OPTION_DISCOUNTED_CUMULATIVE_GAINEvaluationResult.OPTION_ENABLE_ALLEvaluationResult.OPTION_EXAMPLE_WISE_F1EvaluationResult.OPTION_EXAMPLE_WISE_JACCARDEvaluationResult.OPTION_EXAMPLE_WISE_PRECISIONEvaluationResult.OPTION_EXAMPLE_WISE_RECALLEvaluationResult.OPTION_F1EvaluationResult.OPTION_HAMMING_ACCURACYEvaluationResult.OPTION_HAMMING_LOSSEvaluationResult.OPTION_JACCARDEvaluationResult.OPTION_LABEL_RANKING_AVERAGE_PRECISIONEvaluationResult.OPTION_MACRO_F1EvaluationResult.OPTION_MACRO_JACCARDEvaluationResult.OPTION_MACRO_PRECISIONEvaluationResult.OPTION_MACRO_RECALLEvaluationResult.OPTION_MEAN_ABSOLUTE_ERROREvaluationResult.OPTION_MEAN_ABSOLUTE_PERCENTAGE_ERROREvaluationResult.OPTION_MEAN_SQUARED_ERROREvaluationResult.OPTION_MEDIAN_ABSOLUTE_ERROREvaluationResult.OPTION_MICRO_F1EvaluationResult.OPTION_MICRO_JACCARDEvaluationResult.OPTION_MICRO_PRECISIONEvaluationResult.OPTION_MICRO_RECALLEvaluationResult.OPTION_NORMALIZED_DISCOUNTED_CUMULATIVE_GAINEvaluationResult.OPTION_PRECISIONEvaluationResult.OPTION_PREDICTION_TIMEEvaluationResult.OPTION_RANK_LOSSEvaluationResult.OPTION_RECALLEvaluationResult.OPTION_SUBSET_ACCURACYEvaluationResult.OPTION_SUBSET_ZERO_ONE_LOSSEvaluationResult.OPTION_TRAINING_TIMEEvaluationResult.OPTION_ZERO_ONE_LOSSEvaluationResult.to_table()EvaluationResult.to_text()
- mlrl.testbed_sklearn.experiments.output.evaluation.extension module
- mlrl.testbed_sklearn.experiments.output.evaluation.extractor_classification module
- mlrl.testbed_sklearn.experiments.output.evaluation.extractor_ranking module
- mlrl.testbed_sklearn.experiments.output.evaluation.extractor_regression module
- mlrl.testbed_sklearn.experiments.output.evaluation.measures_classification module
- mlrl.testbed_sklearn.experiments.output.evaluation.measures_ranking module
- mlrl.testbed_sklearn.experiments.output.evaluation.measures_regression module
- mlrl.testbed_sklearn.experiments.output.evaluation.writer module