leaspy package
Subpackages
- leaspy.algo package
- leaspy.datasets package
- leaspy.io package
- leaspy.models package
- Subpackages
- Submodules
- Module contents
AbstractModelAbstractModel.check_noise_model_compatibility()AbstractModel.compute_canonical_loss_tensorized()AbstractModel.compute_individual_ages_from_biomarker_values()AbstractModel.compute_individual_ages_from_biomarker_values_tensorized()AbstractModel.compute_individual_attachment_tensorized()AbstractModel.compute_individual_tensorized()AbstractModel.compute_individual_trajectory()AbstractModel.compute_jacobian_tensorized()AbstractModel.compute_model_sufficient_statistics()AbstractModel.compute_regularity_individual_parameters()AbstractModel.compute_regularity_individual_realization()AbstractModel.compute_regularity_population_realization()AbstractModel.compute_regularity_realization()AbstractModel.compute_regularity_variable()AbstractModel.compute_sufficient_statistics()AbstractModel.dimensionAbstractModel.featuresAbstractModel.get_individual_random_variable_information()AbstractModel.get_individual_variable_names()AbstractModel.get_population_random_variable_information()AbstractModel.get_population_variable_names()AbstractModel.initialize()AbstractModel.load_hyperparameters()AbstractModel.load_parameters()AbstractModel.move_to_device()AbstractModel.noise_modelAbstractModel.save()AbstractModel.time_reparametrization()AbstractModel.to_dict()AbstractModel.update_model_parameters_burn_in()AbstractModel.update_model_parameters_normal()AbstractModel.update_parameters_burn_in()AbstractModel.update_parameters_normal()AbstractModel.validate_compatibility_of_dataset()
AbstractMultivariateModelAbstractMultivariateModel.check_noise_model_compatibility()AbstractMultivariateModel.compute_appropriate_ordinal_model()AbstractMultivariateModel.compute_canonical_loss_tensorized()AbstractMultivariateModel.compute_individual_ages_from_biomarker_values()AbstractMultivariateModel.compute_individual_ages_from_biomarker_values_tensorized()AbstractMultivariateModel.compute_individual_attachment_tensorized()AbstractMultivariateModel.compute_individual_tensorized()AbstractMultivariateModel.compute_individual_trajectory()AbstractMultivariateModel.compute_jacobian_tensorized()AbstractMultivariateModel.compute_mean_traj()AbstractMultivariateModel.compute_model_sufficient_statistics()AbstractMultivariateModel.compute_ordinal_model_sufficient_statistics()AbstractMultivariateModel.compute_ordinal_pdf_from_ordinal_sf()AbstractMultivariateModel.compute_regularity_individual_parameters()AbstractMultivariateModel.compute_regularity_individual_realization()AbstractMultivariateModel.compute_regularity_population_realization()AbstractMultivariateModel.compute_regularity_realization()AbstractMultivariateModel.compute_regularity_variable()AbstractMultivariateModel.compute_sufficient_statistics()AbstractMultivariateModel.dimensionAbstractMultivariateModel.featuresAbstractMultivariateModel.get_additional_ordinal_population_random_variable_information()AbstractMultivariateModel.get_individual_random_variable_information()AbstractMultivariateModel.get_individual_variable_names()AbstractMultivariateModel.get_ordinal_parameters_updates_from_sufficient_statistics()AbstractMultivariateModel.get_population_random_variable_information()AbstractMultivariateModel.get_population_variable_names()AbstractMultivariateModel.initialize()AbstractMultivariateModel.initialize_MCMC_toolbox()AbstractMultivariateModel.is_ordinalAbstractMultivariateModel.is_ordinal_rankingAbstractMultivariateModel.load_hyperparameters()AbstractMultivariateModel.load_parameters()AbstractMultivariateModel.move_to_device()AbstractMultivariateModel.noise_modelAbstractMultivariateModel.ordinal_infosAbstractMultivariateModel.postprocess_model_estimation()AbstractMultivariateModel.save()AbstractMultivariateModel.time_reparametrization()AbstractMultivariateModel.to_dict()AbstractMultivariateModel.update_MCMC_toolbox()AbstractMultivariateModel.update_model_parameters_burn_in()AbstractMultivariateModel.update_model_parameters_normal()AbstractMultivariateModel.update_ordinal_population_random_variable_information()AbstractMultivariateModel.update_parameters_burn_in()AbstractMultivariateModel.update_parameters_normal()AbstractMultivariateModel.validate_compatibility_of_dataset()
BaseModelConstantModelConstantModel.compute_individual_trajectory()ConstantModel.dimensionConstantModel.featuresConstantModel.get_hyperparameters()ConstantModel.hyperparameters_ok()ConstantModel.initialize()ConstantModel.load_hyperparameters()ConstantModel.load_parameters()ConstantModel.save()ConstantModel.validate_compatibility_of_dataset()
GenericModelGenericModel.compute_individual_trajectory()GenericModel.dimensionGenericModel.featuresGenericModel.get_hyperparameters()GenericModel.hyperparameters_ok()GenericModel.initialize()GenericModel.load_hyperparameters()GenericModel.load_parameters()GenericModel.save()GenericModel.validate_compatibility_of_dataset()
LMEModelModelFactoryMultivariateModelMultivariateModel.SUBTYPES_SUFFIXESMultivariateModel.check_noise_model_compatibility()MultivariateModel.compute_appropriate_ordinal_model()MultivariateModel.compute_canonical_loss_tensorized()MultivariateModel.compute_individual_ages_from_biomarker_values()MultivariateModel.compute_individual_ages_from_biomarker_values_tensorized()MultivariateModel.compute_individual_ages_from_biomarker_values_tensorized_logistic()MultivariateModel.compute_individual_attachment_tensorized()MultivariateModel.compute_individual_tensorized()MultivariateModel.compute_individual_tensorized_linear()MultivariateModel.compute_individual_tensorized_logistic()MultivariateModel.compute_individual_trajectory()MultivariateModel.compute_jacobian_tensorized()MultivariateModel.compute_jacobian_tensorized_linear()MultivariateModel.compute_jacobian_tensorized_logistic()MultivariateModel.compute_mean_traj()MultivariateModel.compute_model_sufficient_statistics()MultivariateModel.compute_ordinal_model_sufficient_statistics()MultivariateModel.compute_ordinal_pdf_from_ordinal_sf()MultivariateModel.compute_regularity_individual_parameters()MultivariateModel.compute_regularity_individual_realization()MultivariateModel.compute_regularity_population_realization()MultivariateModel.compute_regularity_realization()MultivariateModel.compute_regularity_variable()MultivariateModel.compute_sufficient_statistics()MultivariateModel.dimensionMultivariateModel.featuresMultivariateModel.get_additional_ordinal_population_random_variable_information()MultivariateModel.get_individual_random_variable_information()MultivariateModel.get_individual_variable_names()MultivariateModel.get_ordinal_parameters_updates_from_sufficient_statistics()MultivariateModel.get_population_random_variable_information()MultivariateModel.get_population_variable_names()MultivariateModel.initialize()MultivariateModel.initialize_MCMC_toolbox()MultivariateModel.is_ordinalMultivariateModel.is_ordinal_rankingMultivariateModel.load_hyperparameters()MultivariateModel.load_parameters()MultivariateModel.move_to_device()MultivariateModel.noise_modelMultivariateModel.ordinal_infosMultivariateModel.postprocess_model_estimation()MultivariateModel.save()MultivariateModel.time_reparametrization()MultivariateModel.to_dict()MultivariateModel.update_MCMC_toolbox()MultivariateModel.update_model_parameters_burn_in()MultivariateModel.update_model_parameters_normal()MultivariateModel.update_ordinal_population_random_variable_information()MultivariateModel.update_parameters_burn_in()MultivariateModel.update_parameters_normal()MultivariateModel.validate_compatibility_of_dataset()
MultivariateParallelModelMultivariateParallelModel.check_noise_model_compatibility()MultivariateParallelModel.compute_appropriate_ordinal_model()MultivariateParallelModel.compute_canonical_loss_tensorized()MultivariateParallelModel.compute_individual_ages_from_biomarker_values()MultivariateParallelModel.compute_individual_ages_from_biomarker_values_tensorized()MultivariateParallelModel.compute_individual_attachment_tensorized()MultivariateParallelModel.compute_individual_tensorized()MultivariateParallelModel.compute_individual_trajectory()MultivariateParallelModel.compute_jacobian_tensorized()MultivariateParallelModel.compute_mean_traj()MultivariateParallelModel.compute_model_sufficient_statistics()MultivariateParallelModel.compute_ordinal_model_sufficient_statistics()MultivariateParallelModel.compute_ordinal_pdf_from_ordinal_sf()MultivariateParallelModel.compute_regularity_individual_parameters()MultivariateParallelModel.compute_regularity_individual_realization()MultivariateParallelModel.compute_regularity_population_realization()MultivariateParallelModel.compute_regularity_realization()MultivariateParallelModel.compute_regularity_variable()MultivariateParallelModel.compute_sufficient_statistics()MultivariateParallelModel.dimensionMultivariateParallelModel.featuresMultivariateParallelModel.get_additional_ordinal_population_random_variable_information()MultivariateParallelModel.get_individual_random_variable_information()MultivariateParallelModel.get_individual_variable_names()MultivariateParallelModel.get_ordinal_parameters_updates_from_sufficient_statistics()MultivariateParallelModel.get_population_random_variable_information()MultivariateParallelModel.get_population_variable_names()MultivariateParallelModel.initialize()MultivariateParallelModel.initialize_MCMC_toolbox()MultivariateParallelModel.is_ordinalMultivariateParallelModel.is_ordinal_rankingMultivariateParallelModel.load_hyperparameters()MultivariateParallelModel.load_parameters()MultivariateParallelModel.move_to_device()MultivariateParallelModel.noise_modelMultivariateParallelModel.ordinal_infosMultivariateParallelModel.postprocess_model_estimation()MultivariateParallelModel.save()MultivariateParallelModel.time_reparametrization()MultivariateParallelModel.to_dict()MultivariateParallelModel.update_MCMC_toolbox()MultivariateParallelModel.update_model_parameters_burn_in()MultivariateParallelModel.update_model_parameters_normal()MultivariateParallelModel.update_ordinal_population_random_variable_information()MultivariateParallelModel.update_parameters_burn_in()MultivariateParallelModel.update_parameters_normal()MultivariateParallelModel.validate_compatibility_of_dataset()
UnivariateModelUnivariateModel.SUBTYPES_SUFFIXESUnivariateModel.attributesUnivariateModel.check_noise_model_compatibility()UnivariateModel.compute_appropriate_ordinal_model()UnivariateModel.compute_canonical_loss_tensorized()UnivariateModel.compute_individual_ages_from_biomarker_values()UnivariateModel.compute_individual_ages_from_biomarker_values_tensorized()UnivariateModel.compute_individual_ages_from_biomarker_values_tensorized_logistic()UnivariateModel.compute_individual_attachment_tensorized()UnivariateModel.compute_individual_tensorized()UnivariateModel.compute_individual_tensorized_linear()UnivariateModel.compute_individual_tensorized_logistic()UnivariateModel.compute_individual_trajectory()UnivariateModel.compute_jacobian_tensorized()UnivariateModel.compute_jacobian_tensorized_linear()UnivariateModel.compute_jacobian_tensorized_logistic()UnivariateModel.compute_mean_traj()UnivariateModel.compute_model_sufficient_statistics()UnivariateModel.compute_ordinal_model_sufficient_statistics()UnivariateModel.compute_ordinal_pdf_from_ordinal_sf()UnivariateModel.compute_regularity_individual_parameters()UnivariateModel.compute_regularity_individual_realization()UnivariateModel.compute_regularity_population_realization()UnivariateModel.compute_regularity_realization()UnivariateModel.compute_regularity_variable()UnivariateModel.compute_sufficient_statistics()UnivariateModel.dimensionUnivariateModel.featuresUnivariateModel.get_additional_ordinal_population_random_variable_information()UnivariateModel.get_individual_random_variable_information()UnivariateModel.get_individual_variable_names()UnivariateModel.get_ordinal_parameters_updates_from_sufficient_statistics()UnivariateModel.get_population_random_variable_information()UnivariateModel.get_population_variable_names()UnivariateModel.initialize()UnivariateModel.initialize_MCMC_toolbox()UnivariateModel.is_initializedUnivariateModel.is_ordinalUnivariateModel.is_ordinal_rankingUnivariateModel.load_hyperparameters()UnivariateModel.load_parameters()UnivariateModel.move_to_device()UnivariateModel.noise_modelUnivariateModel.ordinal_infosUnivariateModel.parametersUnivariateModel.postprocess_model_estimation()UnivariateModel.save()UnivariateModel.source_dimensionUnivariateModel.time_reparametrization()UnivariateModel.to_dict()UnivariateModel.update_MCMC_toolbox()UnivariateModel.update_model_parameters_burn_in()UnivariateModel.update_model_parameters_normal()UnivariateModel.update_ordinal_population_random_variable_information()UnivariateModel.update_parameters_burn_in()UnivariateModel.update_parameters_normal()UnivariateModel.validate_compatibility_of_dataset()
- leaspy.utils package