Exemple #1
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def export_linear_model_to_hdf(target_file, model_structure, estimator):
    model_structure = _copy_model_structure(model_structure)

    ols_model = memomodel.OLSModelDescription(intercept=estimator.intercept_,
                                              coefs=estimator.coef_)

    simmodel_description = memomodel.SimulationModelDescription(
        model_structure=model_structure, regression_model=ols_model)

    db = memomodel.MeMoSimDB(target_file)
    db.open(access_mode=H5AccessMode.WRITE_TRUNCATE_ON_EXIST)
    db.save_object(simmodel_description)
    db.close()
Exemple #2
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def export_generic_sklearn_model_to_hdf(target_file, model_structure,
                                        estimator):
    model_structure = _copy_model_structure(model_structure)

    generic_model = memomodel.GenericModelDescription(
        sklearn_estimator=estimator)

    simmodel_description = memomodel.SimulationModelDescription(
        model_structure=model_structure, regression_model=generic_model)

    db = memomodel.MeMoSimDB(target_file)
    db.open(access_mode=H5AccessMode.WRITE_TRUNCATE_ON_EXIST)
    db.save_object(simmodel_description)
    db.close()
Exemple #3
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def export_kernel_ridge_regression_model_to_hdf(target_file, model_structure,
                                                estimator):
    model_structure = _copy_model_structure(model_structure)

    krr_model = memomodel.KernelRidgeRegressionModelDescription(
        kernel=estimator.kernel,
        gamma=estimator.gamma,
        degree=estimator.degree,
        coef0=estimator.coef0,
        X_fit=estimator.X_fit_,
        dual_coef=estimator.dual_coef_)

    simmodel_description = memomodel.SimulationModelDescription(
        model_structure=model_structure, regression_model=krr_model)

    db = memomodel.MeMoSimDB(target_file)
    db.open(access_mode=H5AccessMode.WRITE_TRUNCATE_ON_EXIST)
    db.save_object(simmodel_description)
    db.close()