Contents
KoopmanPipeline
KoopmanPipeline.liting_functions_
KoopmanPipeline.regressor_
KoopmanPipeline.transformers_fit_
KoopmanPipeline.regressor_fit_
KoopmanPipeline.n_features_in_
KoopmanPipeline.n_states_in_
KoopmanPipeline.n_inputs_in_
KoopmanPipeline.n_features_out_
KoopmanPipeline.n_states_out_
KoopmanPipeline.n_inputs_out_
KoopmanPipeline.min_samples_
KoopmanPipeline.episode_feature_
KoopmanPipeline.feature_names_in_
KoopmanPipeline.__init__()
KoopmanPipeline.fit()
KoopmanPipeline.fit_transform()
KoopmanPipeline.fit_transformers()
KoopmanPipeline.frequency_response()
KoopmanPipeline.get_feature_names_in()
KoopmanPipeline.get_feature_names_out()
KoopmanPipeline.get_metadata_routing()
KoopmanPipeline.get_params()
KoopmanPipeline.inverse_transform()
KoopmanPipeline.lift()
KoopmanPipeline.lift_input()
KoopmanPipeline.lift_state()
KoopmanPipeline.make_scorer()
KoopmanPipeline.n_samples_in()
KoopmanPipeline.plot_bode()
KoopmanPipeline.plot_eigenvalues()
KoopmanPipeline.plot_koopman_matrix()
KoopmanPipeline.plot_lifted_trajectory()
KoopmanPipeline.plot_predicted_trajectory()
KoopmanPipeline.plot_svd()
KoopmanPipeline.predict()
KoopmanPipeline.predict_multistep()
KoopmanPipeline.predict_trajectory()
KoopmanPipeline.retract()
KoopmanPipeline.retract_input()
KoopmanPipeline.retract_state()
KoopmanPipeline.score()
KoopmanPipeline.set_fit_request()
KoopmanPipeline.set_output()
KoopmanPipeline.set_params()
KoopmanPipeline.transform()
SplitPipeline
SplitPipeline.lifting_functions_state_
SplitPipeline.lifting_functions_input_
SplitPipeline.n_features_in_
SplitPipeline.n_states_in_
SplitPipeline.n_inputs_in_
SplitPipeline.n_features_out_
SplitPipeline.n_states_out_
SplitPipeline.n_inputs_out_
SplitPipeline.min_samples_
SplitPipeline.episode_feature_
SplitPipeline.feature_names_in_
SplitPipeline.__init__()
SplitPipeline.fit()
SplitPipeline.fit_transform()
SplitPipeline.get_feature_names_in()
SplitPipeline.get_feature_names_out()
SplitPipeline.get_metadata_routing()
SplitPipeline.get_params()
SplitPipeline.inverse_transform()
SplitPipeline.lift()
SplitPipeline.lift_input()
SplitPipeline.lift_state()
SplitPipeline.n_samples_in()
SplitPipeline.plot_lifted_trajectory()
SplitPipeline.retract()
SplitPipeline.retract_input()
SplitPipeline.retract_state()
SplitPipeline.set_fit_request()
SplitPipeline.set_output()
SplitPipeline.set_params()
SplitPipeline.transform()
combine_episodes()
extract_initial_conditions()
extract_input()
score_trajectory()
shift_episodes()
split_episodes()
strip_initial_conditions()
BilinearInputLiftingFn
BilinearInputLiftingFn.n_features_in_
BilinearInputLiftingFn.n_states_in_
BilinearInputLiftingFn.n_inputs_in_
BilinearInputLiftingFn.n_features_out_
BilinearInputLiftingFn.n_states_out_
BilinearInputLiftingFn.n_inputs_out_
BilinearInputLiftingFn.min_samples_
BilinearInputLiftingFn.episode_feature_
BilinearInputLiftingFn.feature_names_in_
BilinearInputLiftingFn.__init__()
BilinearInputLiftingFn.fit()
BilinearInputLiftingFn.fit_transform()
BilinearInputLiftingFn.get_feature_names_in()
BilinearInputLiftingFn.get_feature_names_out()
BilinearInputLiftingFn.get_metadata_routing()
BilinearInputLiftingFn.get_params()
BilinearInputLiftingFn.inverse_transform()
BilinearInputLiftingFn.lift()
BilinearInputLiftingFn.lift_input()
BilinearInputLiftingFn.lift_state()
BilinearInputLiftingFn.n_samples_in()
BilinearInputLiftingFn.plot_lifted_trajectory()
BilinearInputLiftingFn.retract()
BilinearInputLiftingFn.retract_input()
BilinearInputLiftingFn.retract_state()
BilinearInputLiftingFn.set_fit_request()
BilinearInputLiftingFn.set_output()
BilinearInputLiftingFn.set_params()
BilinearInputLiftingFn.transform()
ConstantLiftingFn
ConstantLiftingFn.n_features_in_
ConstantLiftingFn.n_states_in_
ConstantLiftingFn.n_inputs_in_
ConstantLiftingFn.n_features_out_
ConstantLiftingFn.n_states_out_
ConstantLiftingFn.n_inputs_out_
ConstantLiftingFn.min_samples_
ConstantLiftingFn.episode_feature_
ConstantLiftingFn.feature_names_in_
ConstantLiftingFn.__init__()
ConstantLiftingFn.fit()
ConstantLiftingFn.fit_transform()
ConstantLiftingFn.get_feature_names_in()
ConstantLiftingFn.get_feature_names_out()
ConstantLiftingFn.get_metadata_routing()
ConstantLiftingFn.get_params()
ConstantLiftingFn.inverse_transform()
ConstantLiftingFn.lift()
ConstantLiftingFn.lift_input()
ConstantLiftingFn.lift_state()
ConstantLiftingFn.n_samples_in()
ConstantLiftingFn.plot_lifted_trajectory()
ConstantLiftingFn.retract()
ConstantLiftingFn.retract_input()
ConstantLiftingFn.retract_state()
ConstantLiftingFn.set_fit_request()
ConstantLiftingFn.set_output()
ConstantLiftingFn.set_params()
ConstantLiftingFn.transform()
DelayLiftingFn
DelayLiftingFn.n_features_in_
DelayLiftingFn.n_states_in_
DelayLiftingFn.n_inputs_in_
DelayLiftingFn.n_features_out_
DelayLiftingFn.n_states_out_
DelayLiftingFn.n_inputs_out_
DelayLiftingFn.min_samples_
DelayLiftingFn.episode_feature_
DelayLiftingFn.feature_names_in_
DelayLiftingFn.__init__()
DelayLiftingFn.fit()
DelayLiftingFn.fit_transform()
DelayLiftingFn.get_feature_names_in()
DelayLiftingFn.get_feature_names_out()
DelayLiftingFn.get_metadata_routing()
DelayLiftingFn.get_params()
DelayLiftingFn.inverse_transform()
DelayLiftingFn.lift()
DelayLiftingFn.lift_input()
DelayLiftingFn.lift_state()
DelayLiftingFn.n_samples_in()
DelayLiftingFn.plot_lifted_trajectory()
DelayLiftingFn.retract()
DelayLiftingFn.retract_input()
DelayLiftingFn.retract_state()
DelayLiftingFn.set_fit_request()
DelayLiftingFn.set_output()
DelayLiftingFn.set_params()
DelayLiftingFn.transform()
KernelApproxLiftingFn
KernelApproxLiftingFn.n_features_in_
KernelApproxLiftingFn.n_states_in_
KernelApproxLiftingFn.n_inputs_in_
KernelApproxLiftingFn.n_features_out_
KernelApproxLiftingFn.n_states_out_
KernelApproxLiftingFn.n_inputs_out_
KernelApproxLiftingFn.min_samples_
KernelApproxLiftingFn.episode_feature_
KernelApproxLiftingFn.feature_names_in_
KernelApproxLiftingFn.kernel_approx_
KernelApproxLiftingFn.n_features_kernel_
KernelApproxLiftingFn.__init__()
KernelApproxLiftingFn.kernel_approx
KernelApproxLiftingFn.fit()
KernelApproxLiftingFn.fit_transform()
KernelApproxLiftingFn.get_feature_names_in()
KernelApproxLiftingFn.get_feature_names_out()
KernelApproxLiftingFn.get_metadata_routing()
KernelApproxLiftingFn.get_params()
KernelApproxLiftingFn.inverse_transform()
KernelApproxLiftingFn.lift()
KernelApproxLiftingFn.lift_input()
KernelApproxLiftingFn.lift_state()
KernelApproxLiftingFn.n_samples_in()
KernelApproxLiftingFn.plot_lifted_trajectory()
KernelApproxLiftingFn.retract()
KernelApproxLiftingFn.retract_input()
KernelApproxLiftingFn.retract_state()
KernelApproxLiftingFn.set_fit_request()
KernelApproxLiftingFn.set_output()
KernelApproxLiftingFn.set_params()
KernelApproxLiftingFn.transform()
PolynomialLiftingFn
PolynomialLiftingFn.transformer_
PolynomialLiftingFn.transform_order_
PolynomialLiftingFn.inverse_transform_order_
PolynomialLiftingFn.n_features_in_
PolynomialLiftingFn.n_states_in_
PolynomialLiftingFn.n_inputs_in_
PolynomialLiftingFn.n_features_out_
PolynomialLiftingFn.n_states_out_
PolynomialLiftingFn.n_inputs_out_
PolynomialLiftingFn.min_samples_
PolynomialLiftingFn.episode_feature_
PolynomialLiftingFn.feature_names_in_
PolynomialLiftingFn.__init__()
PolynomialLiftingFn.fit()
PolynomialLiftingFn.fit_transform()
PolynomialLiftingFn.get_feature_names_in()
PolynomialLiftingFn.get_feature_names_out()
PolynomialLiftingFn.get_metadata_routing()
PolynomialLiftingFn.get_params()
PolynomialLiftingFn.inverse_transform()
PolynomialLiftingFn.lift()
PolynomialLiftingFn.lift_input()
PolynomialLiftingFn.lift_state()
PolynomialLiftingFn.n_samples_in()
PolynomialLiftingFn.plot_lifted_trajectory()
PolynomialLiftingFn.retract()
PolynomialLiftingFn.retract_input()
PolynomialLiftingFn.retract_state()
PolynomialLiftingFn.set_fit_request()
PolynomialLiftingFn.set_output()
PolynomialLiftingFn.set_params()
PolynomialLiftingFn.transform()
RbfLiftingFn
RbfLiftingFn.n_features_in_
RbfLiftingFn.n_states_in_
RbfLiftingFn.n_inputs_in_
RbfLiftingFn.n_features_out_
RbfLiftingFn.n_states_out_
RbfLiftingFn.n_inputs_out_
RbfLiftingFn.min_samples_
RbfLiftingFn.episode_feature_
RbfLiftingFn.feature_names_in_
RbfLiftingFn.rbf_
RbfLiftingFn.centers_
RbfLiftingFn.offset_
RbfLiftingFn.__init__()
RbfLiftingFn.rbf
RbfLiftingFn.centers
RbfLiftingFn.shape
RbfLiftingFn.offset
RbfLiftingFn.fit()
RbfLiftingFn.fit_transform()
RbfLiftingFn.get_feature_names_in()
RbfLiftingFn.get_feature_names_out()
RbfLiftingFn.get_metadata_routing()
RbfLiftingFn.get_params()
RbfLiftingFn.inverse_transform()
RbfLiftingFn.lift()
RbfLiftingFn.lift_input()
RbfLiftingFn.lift_state()
RbfLiftingFn.n_samples_in()
RbfLiftingFn.plot_lifted_trajectory()
RbfLiftingFn.retract()
RbfLiftingFn.retract_input()
RbfLiftingFn.retract_state()
RbfLiftingFn.set_fit_request()
RbfLiftingFn.set_output()
RbfLiftingFn.set_params()
RbfLiftingFn.transform()
SkLearnLiftingFn
SkLearnLiftingFn.transformer_
SkLearnLiftingFn.n_features_in_
SkLearnLiftingFn.n_states_in_
SkLearnLiftingFn.n_inputs_in_
SkLearnLiftingFn.n_features_out_
SkLearnLiftingFn.n_states_out_
SkLearnLiftingFn.n_inputs_out_
SkLearnLiftingFn.min_samples_
SkLearnLiftingFn.episode_feature_
SkLearnLiftingFn.feature_names_in_
SkLearnLiftingFn.__init__()
SkLearnLiftingFn.fit()
SkLearnLiftingFn.fit_transform()
SkLearnLiftingFn.get_feature_names_in()
SkLearnLiftingFn.get_feature_names_out()
SkLearnLiftingFn.get_metadata_routing()
SkLearnLiftingFn.get_params()
SkLearnLiftingFn.inverse_transform()
SkLearnLiftingFn.lift()
SkLearnLiftingFn.lift_input()
SkLearnLiftingFn.lift_state()
SkLearnLiftingFn.n_samples_in()
SkLearnLiftingFn.plot_lifted_trajectory()
SkLearnLiftingFn.retract()
SkLearnLiftingFn.retract_input()
SkLearnLiftingFn.retract_state()
SkLearnLiftingFn.set_fit_request()
SkLearnLiftingFn.set_output()
SkLearnLiftingFn.set_params()
SkLearnLiftingFn.transform()
Dmd
Dmd.eigenvalues_
Dmd.modes_
Dmd.tsvd_
Dmd.n_features_in_
Dmd.n_states_in_
Dmd.n_inputs_in_
Dmd.episode_feature_
Dmd.feature_names_in_
Dmd.coef_
Dmd.__init__()
Dmd.fit()
Dmd.frequency_response()
Dmd.get_metadata_routing()
Dmd.get_params()
Dmd.plot_bode()
Dmd.plot_eigenvalues()
Dmd.plot_koopman_matrix()
Dmd.plot_svd()
Dmd.predict()
Dmd.score()
Dmd.set_fit_request()
Dmd.set_params()
Dmd.set_score_request()
Dmdc
Dmdc.eigenvalues_
Dmdc.modes_
Dmdc.B_tilde_
Dmdc.tsvd_unshifted_
Dmdc.tsvd_shifted_
Dmdc.n_features_in_
Dmdc.n_states_in_
Dmdc.n_inputs_in_
Dmdc.episode_feature_
Dmdc.feature_names_in_
Dmdc.coef_
Dmdc.__init__()
Dmdc.fit()
Dmdc.frequency_response()
Dmdc.get_metadata_routing()
Dmdc.get_params()
Dmdc.plot_bode()
Dmdc.plot_eigenvalues()
Dmdc.plot_koopman_matrix()
Dmdc.plot_svd()
Dmdc.predict()
Dmdc.score()
Dmdc.set_fit_request()
Dmdc.set_params()
Dmdc.set_score_request()
Edmd
Edmd.n_features_in_
Edmd.n_states_in_
Edmd.n_inputs_in_
Edmd.episode_feature_
Edmd.feature_names_in_
Edmd.coef_
Edmd.__init__()
Edmd.fit()
Edmd.frequency_response()
Edmd.get_metadata_routing()
Edmd.get_params()
Edmd.plot_bode()
Edmd.plot_eigenvalues()
Edmd.plot_koopman_matrix()
Edmd.plot_svd()
Edmd.predict()
Edmd.score()
Edmd.set_fit_request()
Edmd.set_params()
Edmd.set_score_request()
EdmdMeta
EdmdMeta.n_features_in_
EdmdMeta.n_states_in_
EdmdMeta.n_inputs_in_
EdmdMeta.episode_feature_
EdmdMeta.feature_names_in_
EdmdMeta.regressor_
EdmdMeta.coef_
EdmdMeta.__init__()
EdmdMeta.fit()
EdmdMeta.frequency_response()
EdmdMeta.get_metadata_routing()
EdmdMeta.get_params()
EdmdMeta.plot_bode()
EdmdMeta.plot_eigenvalues()
EdmdMeta.plot_koopman_matrix()
EdmdMeta.plot_svd()
EdmdMeta.predict()
EdmdMeta.score()
EdmdMeta.set_fit_request()
EdmdMeta.set_params()
EdmdMeta.set_score_request()
DataRegressor
DataRegressor.n_features_in_
DataRegressor.n_states_in_
DataRegressor.n_inputs_in_
DataRegressor.episode_feature_
DataRegressor.feature_names_in_
DataRegressor.coef_
DataRegressor.__init__()
DataRegressor.fit()
DataRegressor.frequency_response()
DataRegressor.get_metadata_routing()
DataRegressor.get_params()
DataRegressor.plot_bode()
DataRegressor.plot_eigenvalues()
DataRegressor.plot_koopman_matrix()
DataRegressor.plot_svd()
DataRegressor.predict()
DataRegressor.score()
DataRegressor.set_fit_request()
DataRegressor.set_params()
DataRegressor.set_score_request()
RandomBinningKernelApprox
RandomBinningKernelApprox.n_features_in_
RandomBinningKernelApprox.n_features_out_
RandomBinningKernelApprox.ddot_
RandomBinningKernelApprox.pitches_
RandomBinningKernelApprox.shifts_
RandomBinningKernelApprox.encoder_
RandomBinningKernelApprox.__init__()
RandomBinningKernelApprox.fit()
RandomBinningKernelApprox.fit_transform()
RandomBinningKernelApprox.get_metadata_routing()
RandomBinningKernelApprox.get_params()
RandomBinningKernelApprox.set_output()
RandomBinningKernelApprox.set_params()
RandomBinningKernelApprox.transform()
RandomFourierKernelApprox
RandomFourierKernelApprox.n_features_in_
RandomFourierKernelApprox.n_features_out_
RandomFourierKernelApprox.ift_
RandomFourierKernelApprox.random_weights_
RandomFourierKernelApprox.random_offsets_
RandomFourierKernelApprox.__init__()
RandomFourierKernelApprox.fit()
RandomFourierKernelApprox.fit_transform()
RandomFourierKernelApprox.get_metadata_routing()
RandomFourierKernelApprox.get_params()
RandomFourierKernelApprox.set_output()
RandomFourierKernelApprox.set_params()
RandomFourierKernelApprox.transform()
ClusterCenters
ClusterCenters.centers_
ClusterCenters.n_centers_
ClusterCenters.n_features_in_
ClusterCenters.estimator_
ClusterCenters.__init__()
ClusterCenters.fit()
ClusterCenters.get_metadata_routing()
ClusterCenters.get_params()
ClusterCenters.set_params()
DataCenters
DataCenters.centers_
DataCenters.n_centers_
DataCenters.n_features_in_
DataCenters.__init__()
DataCenters.fit()
DataCenters.get_metadata_routing()
DataCenters.get_params()
DataCenters.set_params()
GaussianRandomCenters
GaussianRandomCenters.centers_
GaussianRandomCenters.n_centers_
GaussianRandomCenters.n_features_in_
GaussianRandomCenters.mean_
GaussianRandomCenters.cov_
GaussianRandomCenters.__init__()
GaussianRandomCenters.fit()
GaussianRandomCenters.get_metadata_routing()
GaussianRandomCenters.get_params()
GaussianRandomCenters.set_params()
GaussianMixtureRandomCenters
GaussianMixtureRandomCenters.centers_
GaussianMixtureRandomCenters.n_centers_
GaussianMixtureRandomCenters.n_features_in_
GaussianMixtureRandomCenters.estimator_
GaussianMixtureRandomCenters.__init__()
GaussianMixtureRandomCenters.fit()
GaussianMixtureRandomCenters.get_metadata_routing()
GaussianMixtureRandomCenters.get_params()
GaussianMixtureRandomCenters.set_params()
GridCenters
GridCenters.centers_
GridCenters.n_centers_
GridCenters.n_features_in_
GridCenters.range_max_
GridCenters.range_min_
GridCenters.__init__()
GridCenters.fit()
GridCenters.get_metadata_routing()
GridCenters.get_params()
GridCenters.set_params()
QmcCenters
QmcCenters.centers_
QmcCenters.n_centers_
QmcCenters.n_features_in_
QmcCenters.range_max_
QmcCenters.range_min_
QmcCenters.qmc_
QmcCenters.__init__()
QmcCenters.fit()
QmcCenters.get_metadata_routing()
QmcCenters.get_params()
QmcCenters.set_params()
UniformRandomCenters
UniformRandomCenters.centers_
UniformRandomCenters.n_centers_
UniformRandomCenters.n_features_in_
UniformRandomCenters.range_max_
UniformRandomCenters.range_min_
UniformRandomCenters.__init__()
UniformRandomCenters.fit()
UniformRandomCenters.get_metadata_routing()
UniformRandomCenters.get_params()
UniformRandomCenters.set_params()
Tsvd
Tsvd.left_singular_vectors_
Tsvd.singular_values_
Tsvd.right_singular_vectors_
Tsvd.n_features_in_
Tsvd.__init__()
Tsvd.fit()
Tsvd.get_metadata_routing()
Tsvd.get_params()
Tsvd.set_params()
AnglePreprocessor
AnglePreprocessor.angles_in_
AnglePreprocessor.lin_out_
AnglePreprocessor.cos_out_
AnglePreprocessor.sin_out_
AnglePreprocessor.n_features_in_
AnglePreprocessor.n_states_in_
AnglePreprocessor.n_inputs_in_
AnglePreprocessor.n_features_out_
AnglePreprocessor.n_states_out_
AnglePreprocessor.n_inputs_out_
AnglePreprocessor.min_samples_
AnglePreprocessor.episode_feature_
AnglePreprocessor.feature_names_in_
AnglePreprocessor.__init__()
AnglePreprocessor.fit()
AnglePreprocessor.fit_transform()
AnglePreprocessor.get_feature_names_in()
AnglePreprocessor.get_feature_names_out()
AnglePreprocessor.get_metadata_routing()
AnglePreprocessor.get_params()
AnglePreprocessor.inverse_transform()
AnglePreprocessor.lift()
AnglePreprocessor.lift_input()
AnglePreprocessor.lift_state()
AnglePreprocessor.n_samples_in()
AnglePreprocessor.plot_lifted_trajectory()
AnglePreprocessor.retract()
AnglePreprocessor.retract_input()
AnglePreprocessor.retract_state()
AnglePreprocessor.set_fit_request()
AnglePreprocessor.set_output()
AnglePreprocessor.set_params()
AnglePreprocessor.transform()
example_data_duffing()
example_data_msd()
example_data_pendulum()
example_data_vdp()
random_input()
random_state()
LmiEdmd
LmiEdmd.alpha_tikhonov_
LmiEdmd.alpha_other_
LmiEdmd.tsvd_
LmiEdmd.solver_params_
LmiEdmd.n_features_in_
LmiEdmd.n_states_in_
LmiEdmd.n_inputs_in_
LmiEdmd.episode_feature_
LmiEdmd.feature_names_in_
LmiEdmd.coef_
LmiEdmd.__init__()
LmiEdmd.fit()
LmiEdmd.frequency_response()
LmiEdmd.get_metadata_routing()
LmiEdmd.get_params()
LmiEdmd.plot_bode()
LmiEdmd.plot_eigenvalues()
LmiEdmd.plot_koopman_matrix()
LmiEdmd.plot_svd()
LmiEdmd.predict()
LmiEdmd.score()
LmiEdmd.set_fit_request()
LmiEdmd.set_params()
LmiEdmd.set_score_request()
LmiEdmdDissipativityConstr
LmiEdmdDissipativityConstr.tsvd_
LmiEdmdDissipativityConstr.objective_log_
LmiEdmdDissipativityConstr.stop_reason_
LmiEdmdDissipativityConstr.n_iter_
LmiEdmdDissipativityConstr.solver_params_
LmiEdmdDissipativityConstr.n_features_in_
LmiEdmdDissipativityConstr.n_states_in_
LmiEdmdDissipativityConstr.n_inputs_in_
LmiEdmdDissipativityConstr.episode_feature_
LmiEdmdDissipativityConstr.feature_names_in_
LmiEdmdDissipativityConstr.coef_
LmiEdmdDissipativityConstr.__init__()
LmiEdmdDissipativityConstr.fit()
LmiEdmdDissipativityConstr.frequency_response()
LmiEdmdDissipativityConstr.get_metadata_routing()
LmiEdmdDissipativityConstr.get_params()
LmiEdmdDissipativityConstr.plot_bode()
LmiEdmdDissipativityConstr.plot_eigenvalues()
LmiEdmdDissipativityConstr.plot_koopman_matrix()
LmiEdmdDissipativityConstr.plot_svd()
LmiEdmdDissipativityConstr.predict()
LmiEdmdDissipativityConstr.score()
LmiEdmdDissipativityConstr.set_fit_request()
LmiEdmdDissipativityConstr.set_params()
LmiEdmdDissipativityConstr.set_score_request()
LmiEdmdHinfReg
LmiEdmdHinfReg.tsvd_
LmiEdmdHinfReg.P_
LmiEdmdHinfReg.gamma_
LmiEdmdHinfReg.objective_log_
LmiEdmdHinfReg.stop_reason_
LmiEdmdHinfReg.n_iter_
LmiEdmdHinfReg.solver_params_
LmiEdmdHinfReg.n_features_in_
LmiEdmdHinfReg.n_states_in_
LmiEdmdHinfReg.n_inputs_in_
LmiEdmdHinfReg.episode_feature_
LmiEdmdHinfReg.feature_names_in_
LmiEdmdHinfReg.coef_
LmiEdmdHinfReg.__init__()
LmiEdmdHinfReg.fit()
LmiEdmdHinfReg.frequency_response()
LmiEdmdHinfReg.get_metadata_routing()
LmiEdmdHinfReg.get_params()
LmiEdmdHinfReg.plot_bode()
LmiEdmdHinfReg.plot_eigenvalues()
LmiEdmdHinfReg.plot_koopman_matrix()
LmiEdmdHinfReg.plot_svd()
LmiEdmdHinfReg.predict()
LmiEdmdHinfReg.score()
LmiEdmdHinfReg.set_fit_request()
LmiEdmdHinfReg.set_params()
LmiEdmdHinfReg.set_score_request()
LmiEdmdSpectralRadiusConstr
LmiEdmdSpectralRadiusConstr.tsvd_
LmiEdmdSpectralRadiusConstr.P_
LmiEdmdSpectralRadiusConstr.objective_log_
LmiEdmdSpectralRadiusConstr.stop_reason_
LmiEdmdSpectralRadiusConstr.n_iter_
LmiEdmdSpectralRadiusConstr.solver_params_
LmiEdmdSpectralRadiusConstr.n_features_in_
LmiEdmdSpectralRadiusConstr.n_states_in_
LmiEdmdSpectralRadiusConstr.n_inputs_in_
LmiEdmdSpectralRadiusConstr.episode_feature_
LmiEdmdSpectralRadiusConstr.feature_names_in_
LmiEdmdSpectralRadiusConstr.coef_
LmiEdmdSpectralRadiusConstr.__init__()
LmiEdmdSpectralRadiusConstr.fit()
LmiEdmdSpectralRadiusConstr.frequency_response()
LmiEdmdSpectralRadiusConstr.get_metadata_routing()
LmiEdmdSpectralRadiusConstr.get_params()
LmiEdmdSpectralRadiusConstr.plot_bode()
LmiEdmdSpectralRadiusConstr.plot_eigenvalues()
LmiEdmdSpectralRadiusConstr.plot_koopman_matrix()
LmiEdmdSpectralRadiusConstr.plot_svd()
LmiEdmdSpectralRadiusConstr.predict()
LmiEdmdSpectralRadiusConstr.score()
LmiEdmdSpectralRadiusConstr.set_fit_request()
LmiEdmdSpectralRadiusConstr.set_params()
LmiEdmdSpectralRadiusConstr.set_score_request()
LmiDmdc
LmiDmdc.alpha_tikhonov_
LmiDmdc.alpha_other_
LmiDmdc.tsvd_unshifted_
LmiDmdc.tsvd_shifted_
LmiDmdc.U_hat_
LmiDmdc.solver_params_
LmiDmdc.n_features_in_
LmiDmdc.n_states_in_
LmiDmdc.n_inputs_in_
LmiDmdc.episode_feature_
LmiDmdc.feature_names_in_
LmiDmdc.coef_
LmiDmdc.__init__()
LmiDmdc.fit()
LmiDmdc.frequency_response()
LmiDmdc.get_metadata_routing()
LmiDmdc.get_params()
LmiDmdc.plot_bode()
LmiDmdc.plot_eigenvalues()
LmiDmdc.plot_koopman_matrix()
LmiDmdc.plot_svd()
LmiDmdc.predict()
LmiDmdc.score()
LmiDmdc.set_fit_request()
LmiDmdc.set_params()
LmiDmdc.set_score_request()
LmiDmdcHinfReg
LmiDmdcHinfReg.tsvd_unshifted_
LmiDmdcHinfReg.tsvd_shifted_
LmiDmdcHinfReg.U_hat_
LmiDmdcHinfReg.P_
LmiDmdcHinfReg.gamma_
LmiDmdcHinfReg.objective_log_
LmiDmdcHinfReg.stop_reason_
LmiDmdcHinfReg.n_iter_
LmiDmdcHinfReg.solver_params_
LmiDmdcHinfReg.n_features_in_
LmiDmdcHinfReg.n_states_in_
LmiDmdcHinfReg.n_inputs_in_
LmiDmdcHinfReg.episode_feature_
LmiDmdcHinfReg.feature_names_in_
LmiDmdcHinfReg.coef_
LmiDmdcHinfReg.__init__()
LmiDmdcHinfReg.fit()
LmiDmdcHinfReg.frequency_response()
LmiDmdcHinfReg.get_metadata_routing()
LmiDmdcHinfReg.get_params()
LmiDmdcHinfReg.plot_bode()
LmiDmdcHinfReg.plot_eigenvalues()
LmiDmdcHinfReg.plot_koopman_matrix()
LmiDmdcHinfReg.plot_svd()
LmiDmdcHinfReg.predict()
LmiDmdcHinfReg.score()
LmiDmdcHinfReg.set_fit_request()
LmiDmdcHinfReg.set_params()
LmiDmdcHinfReg.set_score_request()
LmiDmdcSpectralRadiusConstr
LmiDmdcSpectralRadiusConstr.tsvd_unshifted_
LmiDmdcSpectralRadiusConstr.tsvd_shifted_
LmiDmdcSpectralRadiusConstr.U_hat_
LmiDmdcSpectralRadiusConstr.P_
LmiDmdcSpectralRadiusConstr.objective_log_
LmiDmdcSpectralRadiusConstr.stop_reason_
LmiDmdcSpectralRadiusConstr.n_iter_
LmiDmdcSpectralRadiusConstr.solver_params_
LmiDmdcSpectralRadiusConstr.n_features_in_
LmiDmdcSpectralRadiusConstr.n_states_in_
LmiDmdcSpectralRadiusConstr.n_inputs_in_
LmiDmdcSpectralRadiusConstr.episode_feature_
LmiDmdcSpectralRadiusConstr.feature_names_in_
LmiDmdcSpectralRadiusConstr.coef_
LmiDmdcSpectralRadiusConstr.__init__()
LmiDmdcSpectralRadiusConstr.fit()
LmiDmdcSpectralRadiusConstr.frequency_response()
LmiDmdcSpectralRadiusConstr.get_metadata_routing()
LmiDmdcSpectralRadiusConstr.get_params()
LmiDmdcSpectralRadiusConstr.plot_bode()
LmiDmdcSpectralRadiusConstr.plot_eigenvalues()
LmiDmdcSpectralRadiusConstr.plot_koopman_matrix()
LmiDmdcSpectralRadiusConstr.plot_svd()
LmiDmdcSpectralRadiusConstr.predict()
LmiDmdcSpectralRadiusConstr.score()
LmiDmdcSpectralRadiusConstr.set_fit_request()
LmiDmdcSpectralRadiusConstr.set_params()
LmiDmdcSpectralRadiusConstr.set_score_request()
LmiHinfZpkMeta
LmiHinfZpkMeta.hinf_regressor_
LmiHinfZpkMeta.ss_ct_
LmiHinfZpkMeta.ss_dt_
LmiHinfZpkMeta.n_features_in_
LmiHinfZpkMeta.n_states_in_
LmiHinfZpkMeta.n_inputs_in_
LmiHinfZpkMeta.episode_feature_
LmiHinfZpkMeta.feature_names_in_
LmiHinfZpkMeta.coef_
LmiHinfZpkMeta.__init__()
LmiHinfZpkMeta.fit()
LmiHinfZpkMeta.get_metadata_routing()
LmiHinfZpkMeta.get_params()
LmiHinfZpkMeta.predict()
LmiHinfZpkMeta.score()
LmiHinfZpkMeta.set_fit_request()
LmiHinfZpkMeta.set_params()
LmiHinfZpkMeta.set_score_request()
DiscreteVanDerPol
DiscreteVanDerPol.__init__()
DiscreteVanDerPol.f()
DiscreteVanDerPol.g()
DiscreteVanDerPol.simulate()
DuffingOscillator
DuffingOscillator.__init__()
DuffingOscillator.f()
DuffingOscillator.g()
DuffingOscillator.simulate()
MassSpringDamper
MassSpringDamper.__init__()
MassSpringDamper.f()
MassSpringDamper.g()
MassSpringDamper.simulate()
MassSpringDamper.A
MassSpringDamper.B
Pendulum
Pendulum.__init__()
Pendulum.f()
Pendulum.g()
Pendulum.simulate()
get_config()
set_config()
config_context()
pykoop
Centers
Centers.centers_
Centers.n_centers_
Centers.n_features_in_
Centers.__init__()
Centers.fit()
Centers.get_metadata_routing()
Centers.get_params()
Centers.set_params()
EpisodeDependentLiftingFn
EpisodeDependentLiftingFn.n_features_in_
EpisodeDependentLiftingFn.n_states_in_
EpisodeDependentLiftingFn.n_inputs_in_
EpisodeDependentLiftingFn.n_features_out_
EpisodeDependentLiftingFn.n_states_out_
EpisodeDependentLiftingFn.n_inputs_out_
EpisodeDependentLiftingFn.min_samples_
EpisodeDependentLiftingFn.episode_feature_
EpisodeDependentLiftingFn.feature_names_in_
EpisodeDependentLiftingFn.__init__()
EpisodeDependentLiftingFn.fit()
EpisodeDependentLiftingFn.fit_transform()
EpisodeDependentLiftingFn.get_feature_names_in()
EpisodeDependentLiftingFn.get_feature_names_out()
EpisodeDependentLiftingFn.get_metadata_routing()
EpisodeDependentLiftingFn.get_params()
EpisodeDependentLiftingFn.inverse_transform()
EpisodeDependentLiftingFn.lift()
EpisodeDependentLiftingFn.lift_input()
EpisodeDependentLiftingFn.lift_state()
EpisodeDependentLiftingFn.n_samples_in()
EpisodeDependentLiftingFn.plot_lifted_trajectory()
EpisodeDependentLiftingFn.retract()
EpisodeDependentLiftingFn.retract_input()
EpisodeDependentLiftingFn.retract_state()
EpisodeDependentLiftingFn.set_fit_request()
EpisodeDependentLiftingFn.set_output()
EpisodeDependentLiftingFn.set_params()
EpisodeDependentLiftingFn.transform()
EpisodeIndependentLiftingFn
EpisodeIndependentLiftingFn.n_features_in_
EpisodeIndependentLiftingFn.n_states_in_
EpisodeIndependentLiftingFn.n_inputs_in_
EpisodeIndependentLiftingFn.n_features_out_
EpisodeIndependentLiftingFn.n_states_out_
EpisodeIndependentLiftingFn.n_inputs_out_
EpisodeIndependentLiftingFn.min_samples_
EpisodeIndependentLiftingFn.episode_feature_
EpisodeIndependentLiftingFn.feature_names_in_
EpisodeIndependentLiftingFn.__init__()
EpisodeIndependentLiftingFn.fit()
EpisodeIndependentLiftingFn.fit_transform()
EpisodeIndependentLiftingFn.get_feature_names_in()
EpisodeIndependentLiftingFn.get_feature_names_out()
EpisodeIndependentLiftingFn.get_metadata_routing()
EpisodeIndependentLiftingFn.get_params()
EpisodeIndependentLiftingFn.inverse_transform()
EpisodeIndependentLiftingFn.lift()
EpisodeIndependentLiftingFn.lift_input()
EpisodeIndependentLiftingFn.lift_state()
EpisodeIndependentLiftingFn.n_samples_in()
EpisodeIndependentLiftingFn.plot_lifted_trajectory()
EpisodeIndependentLiftingFn.retract()
EpisodeIndependentLiftingFn.retract_input()
EpisodeIndependentLiftingFn.retract_state()
EpisodeIndependentLiftingFn.set_fit_request()
EpisodeIndependentLiftingFn.set_output()
EpisodeIndependentLiftingFn.set_params()
EpisodeIndependentLiftingFn.transform()
KernelApproximation
KernelApproximation.n_features_in_
KernelApproximation.n_features_out_
KernelApproximation.__init__()
KernelApproximation.fit()
KernelApproximation.fit_transform()
KernelApproximation.get_metadata_routing()
KernelApproximation.get_params()
KernelApproximation.set_output()
KernelApproximation.set_params()
KernelApproximation.transform()
KoopmanLiftingFn
KoopmanLiftingFn.n_features_in_
KoopmanLiftingFn.n_states_in_
KoopmanLiftingFn.n_inputs_in_
KoopmanLiftingFn.n_features_out_
KoopmanLiftingFn.n_states_out_
KoopmanLiftingFn.n_inputs_out_
KoopmanLiftingFn.min_samples_
KoopmanLiftingFn.episode_feature_
KoopmanLiftingFn.feature_names_in_
KoopmanLiftingFn.__init__()
KoopmanLiftingFn.fit()
KoopmanLiftingFn.fit_transform()
KoopmanLiftingFn.get_feature_names_in()
KoopmanLiftingFn.get_feature_names_out()
KoopmanLiftingFn.get_metadata_routing()
KoopmanLiftingFn.get_params()
KoopmanLiftingFn.inverse_transform()
KoopmanLiftingFn.lift()
KoopmanLiftingFn.lift_input()
KoopmanLiftingFn.lift_state()
KoopmanLiftingFn.n_samples_in()
KoopmanLiftingFn.plot_lifted_trajectory()
KoopmanLiftingFn.retract()
KoopmanLiftingFn.retract_input()
KoopmanLiftingFn.retract_state()
KoopmanLiftingFn.set_fit_request()
KoopmanLiftingFn.set_output()
KoopmanLiftingFn.set_params()
KoopmanLiftingFn.transform()
KoopmanRegressor
KoopmanRegressor.n_features_in_
KoopmanRegressor.n_states_in_
KoopmanRegressor.n_inputs_in_
KoopmanRegressor.episode_feature_
KoopmanRegressor.coef_
KoopmanRegressor.feature_names_in_
KoopmanRegressor.__init__()
KoopmanRegressor.fit()
KoopmanRegressor.frequency_response()
KoopmanRegressor.get_metadata_routing()
KoopmanRegressor.get_params()
KoopmanRegressor.plot_bode()
KoopmanRegressor.plot_eigenvalues()
KoopmanRegressor.plot_koopman_matrix()
KoopmanRegressor.plot_svd()
KoopmanRegressor.predict()
KoopmanRegressor.score()
KoopmanRegressor.set_fit_request()
KoopmanRegressor.set_params()
KoopmanRegressor.set_score_request()
ContinuousDynamicModel
ContinuousDynamicModel.__init__()
ContinuousDynamicModel.f()
ContinuousDynamicModel.g()
ContinuousDynamicModel.simulate()
DiscreteDynamicModel
DiscreteDynamicModel.__init__()
DiscreteDynamicModel.f()
DiscreteDynamicModel.g()
DiscreteDynamicModel.simulate()
LmiRegressor
LmiRegressor.n_features_in_
LmiRegressor.n_states_in_
LmiRegressor.n_inputs_in_
LmiRegressor.episode_feature_
LmiRegressor.feature_names_in_
LmiRegressor.coef_
LmiRegressor.__init__()
LmiRegressor.fit()
LmiRegressor.frequency_response()
LmiRegressor.get_metadata_routing()
LmiRegressor.get_params()
LmiRegressor.plot_bode()
LmiRegressor.plot_eigenvalues()
LmiRegressor.plot_koopman_matrix()
LmiRegressor.plot_svd()
LmiRegressor.predict()
LmiRegressor.score()
LmiRegressor.set_fit_request()
LmiRegressor.set_params()
LmiRegressor.set_score_request()
scikit-learn
Get example Van der Pol oscillator data.
Sample Van der Pol oscillator data.
Dict[str, Any]