gemseo.mlearning.regression package

Regression algorithms and quality assessment.

A regressor is a regression algorithm.

Subpackages

• gemseo.mlearning.regression.algos package
  • Submodules
    • gemseo.mlearning.regression.algos.base_random_process_regressor module
      • BaseRandomProcessRegressor
    • gemseo.mlearning.regression.algos.base_regressor module
      • BaseRegressor
    • gemseo.mlearning.regression.algos.base_regressor_settings module
      • BaseRegressorSettings
    • gemseo.mlearning.regression.algos.factory module
      • RegressorFactory
    • gemseo.mlearning.regression.algos.gpr module
      • Overview
      • Details
      • Surrogate model
      • Error measure
      • Interpolation or regression
      • Dependence
      • GaussianProcessRegressor
    • gemseo.mlearning.regression.algos.gpr_settings module
      • GaussianProcessRegressor_Settings
    • gemseo.mlearning.regression.algos.gradient_boosting module
      • GradientBoostingRegressor
    • gemseo.mlearning.regression.algos.gradient_boosting_settings module
      • GradientBoostingRegressor_Settings
    • gemseo.mlearning.regression.algos.linreg module
      • Dependence
      • LinearRegressor
    • gemseo.mlearning.regression.algos.linreg_settings module
      • LinearRegressor_Settings
    • gemseo.mlearning.regression.algos.mlp module
      • MLPRegressor
    • gemseo.mlearning.regression.algos.mlp_settings module
      • MLPRegressor_Settings
    • gemseo.mlearning.regression.algos.moe module
      • MOERegressor
    • gemseo.mlearning.regression.algos.moe_settings module
      • MOE_Settings
    • gemseo.mlearning.regression.algos.ot_gpr module
      • OTGaussianProcessRegressor
    • gemseo.mlearning.regression.algos.ot_gpr_settings module
      • CovarianceModel
      • DOEAlgorithmName
      • OTGaussianProcessRegressor_Settings
      • Trend
      • TNC
    • gemseo.mlearning.regression.algos.pce module
      • Enumeration strategy
      • Distributions
      • Degree
      • Estimation
      • Dependence
      • PCERegressor
    • gemseo.mlearning.regression.algos.pce_settings module
      • CleaningOptions
      • PCERegressor_Settings
    • gemseo.mlearning.regression.algos.polyreg module
      • Dependence
      • PolynomialRegressor
    • gemseo.mlearning.regression.algos.polyreg_settings module
      • PolynomialRegressor_Settings
    • gemseo.mlearning.regression.algos.random_forest module
      • Dependence
      • RandomForestRegressor
    • gemseo.mlearning.regression.algos.random_forest_settings module
      • RandomForestRegressor_Settings
    • gemseo.mlearning.regression.algos.rbf module
      • Dependence
      • RBFRegressor
    • gemseo.mlearning.regression.algos.rbf_settings module
      • Function
      • RBF
      • RBFRegressor_Settings
    • gemseo.mlearning.regression.algos.regressor_chain module
      • RegressorChain
    • gemseo.mlearning.regression.algos.regressor_chain_settings module
      • RegressorChain_Settings
    • gemseo.mlearning.regression.algos.svm module
      • SVMRegressor
    • gemseo.mlearning.regression.algos.svm_settings module
      • SVMRegressor_Settings
    • gemseo.mlearning.regression.algos.thin_plate_spline module
      • TPSRegressor
    • gemseo.mlearning.regression.algos.thin_plate_spline_settings module
      • TPSRegressor_Settings
• gemseo.mlearning.regression.quality package
  • Submodules
    • gemseo.mlearning.regression.quality.base_regressor_quality module
      • BaseRegressorQuality
    • gemseo.mlearning.regression.quality.factory module
      • RegressorQualityFactory
    • gemseo.mlearning.regression.quality.mae_measure module
      • MAEMeasure
    • gemseo.mlearning.regression.quality.me_measure module
      • MEMeasure
    • gemseo.mlearning.regression.quality.mse_measure module
      • MSEMeasure
    • gemseo.mlearning.regression.quality.r2_measure module
      • R2Measure
    • gemseo.mlearning.regression.quality.rmse_measure module
      • RMSEMeasure