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
MLAlgoAssessor
MLAlgoAssessor.CRITERION
MLAlgoAssessor.LEARNING
MLAlgoAssessor.MULTIOUTPUT
MLAlgoAssessor.algo
MLAlgoAssessor.algos
MLAlgoAssessor.cache
MLAlgoAssessor.dataset
MLAlgoAssessor.execution_statistics
MLAlgoAssessor.execution_status
MLAlgoAssessor.jac
MLAlgoAssessor.measure
MLAlgoAssessor.measure_options
MLAlgoAssessor.name
MLAlgoAssessor.parameters
MLAlgoAssessor.transformer
MLAlgoCalibration
MLAlgoCalibration.execute()
MLAlgoCalibration.get_history()
MLAlgoCalibration.algo_assessor
MLAlgoCalibration.algos
MLAlgoCalibration.calibration_space
MLAlgoCalibration.dataset
MLAlgoCalibration.maximize_objective
MLAlgoCalibration.optimal_algorithm
MLAlgoCalibration.optimal_criterion
MLAlgoCalibration.optimal_parameters
MLAlgoCalibration.scenario
- gemseo.mlearning.core.selection module