gemseo.mlearning.core package#
Core machine learning algorithms.
Subpackages#
- gemseo.mlearning.core.algos package
- Submodules
- gemseo.mlearning.core.algos.factory module
- gemseo.mlearning.core.algos.ml_algo module
- gemseo.mlearning.core.algos.ml_algo_settings module
- gemseo.mlearning.core.algos.supervised module
- gemseo.mlearning.core.algos.supervised_settings module
- gemseo.mlearning.core.algos.unsupervised module
- gemseo.mlearning.core.algos.unsupervised_settings module
- Submodules
- gemseo.mlearning.core.quality package
Submodules#
- gemseo.mlearning.core.calibration module
MLAlgoAssessorMLAlgoAssessor.CRITERIONMLAlgoAssessor.LEARNINGMLAlgoAssessor.MULTIOUTPUTMLAlgoAssessor.algoMLAlgoAssessor.algosMLAlgoAssessor.cacheMLAlgoAssessor.datasetMLAlgoAssessor.execution_statisticsMLAlgoAssessor.execution_statusMLAlgoAssessor.jacMLAlgoAssessor.measureMLAlgoAssessor.measure_optionsMLAlgoAssessor.nameMLAlgoAssessor.parametersMLAlgoAssessor.transformer
MLAlgoCalibrationMLAlgoCalibration.execute()MLAlgoCalibration.get_history()MLAlgoCalibration.algo_assessorMLAlgoCalibration.algosMLAlgoCalibration.calibration_spaceMLAlgoCalibration.datasetMLAlgoCalibration.maximize_objectiveMLAlgoCalibration.optimal_algorithmMLAlgoCalibration.optimal_criterionMLAlgoCalibration.optimal_parametersMLAlgoCalibration.scenario
- gemseo.mlearning.core.selection module