StepMix - A Package for Stepwise Estimation of Mixture Models
Note
This project is under active development.
Contents
- Installation
- Tutorials
- API
- StepMix
StepMix
StepMix.weights_
StepMix._mm
StepMix._sm
StepMix.log_resp_
StepMix.measurement_in_
StepMix.structural_in_
StepMix.converged_
StepMix.n_iter_
StepMix.lower_bound_
StepMix.lower_bound_buffer_
StepMix.param_buffer_
StepMix.x_names_
StepMix.y_names_
StepMix.aic()
StepMix.bic()
StepMix.bootstrap()
StepMix.bootstrap_stats()
StepMix.caic()
StepMix.em()
StepMix.entropy()
StepMix.fit()
StepMix.get_cw_df()
StepMix.get_metadata_routing()
StepMix.get_mm_df()
StepMix.get_parameters()
StepMix.get_parameters_df()
StepMix.get_params()
StepMix.get_sm_df()
StepMix.m_step_structural()
StepMix.n_parameters
StepMix.permute_classes()
StepMix.predict()
StepMix.predict_Y()
StepMix.predict_class()
StepMix.predict_proba()
StepMix.predict_proba_Y()
StepMix.predict_proba_class()
StepMix.relative_entropy()
StepMix.report()
StepMix.sabic()
StepMix.sample()
StepMix.score()
StepMix.set_fit_request()
StepMix.set_parameters()
StepMix.set_params()
StepMix.set_score_request()
StepMixClassifier
StepMixClassifier.aic()
StepMixClassifier.bic()
StepMixClassifier.bootstrap()
StepMixClassifier.bootstrap_stats()
StepMixClassifier.caic()
StepMixClassifier.em()
StepMixClassifier.entropy()
StepMixClassifier.fit()
StepMixClassifier.get_cw_df()
StepMixClassifier.get_metadata_routing()
StepMixClassifier.get_mm_df()
StepMixClassifier.get_parameters()
StepMixClassifier.get_parameters_df()
StepMixClassifier.get_params()
StepMixClassifier.get_sm_df()
StepMixClassifier.m_step_structural()
StepMixClassifier.n_parameters
StepMixClassifier.permute_classes()
StepMixClassifier.predict()
StepMixClassifier.predict_Y()
StepMixClassifier.predict_class()
StepMixClassifier.predict_proba()
StepMixClassifier.predict_proba_Y()
StepMixClassifier.predict_proba_class()
StepMixClassifier.relative_entropy()
StepMixClassifier.report()
StepMixClassifier.sabic()
StepMixClassifier.sample()
StepMixClassifier.score()
StepMixClassifier.set_fit_request()
StepMixClassifier.set_parameters()
StepMixClassifier.set_params()
StepMixClassifier.set_score_request()
- Bootstrap
- Emission Models
- Categorical
Bernoulli
Bernoulli.check_parameters()
Bernoulli.get_default_feature_names()
Bernoulli.get_parameters()
Bernoulli.get_parameters_df()
Bernoulli.initialize()
Bernoulli.log_likelihood()
Bernoulli.m_step()
Bernoulli.n_parameters
Bernoulli.permute_classes()
Bernoulli.predict()
Bernoulli.predict_proba()
Bernoulli.print_parameters()
Bernoulli.sample()
Bernoulli.set_parameters()
BernoulliNan
BernoulliNan.check_parameters()
BernoulliNan.get_default_feature_names()
BernoulliNan.get_parameters()
BernoulliNan.get_parameters_df()
BernoulliNan.initialize()
BernoulliNan.log_likelihood()
BernoulliNan.m_step()
BernoulliNan.n_parameters
BernoulliNan.permute_classes()
BernoulliNan.predict()
BernoulliNan.predict_proba()
BernoulliNan.print_parameters()
BernoulliNan.sample()
BernoulliNan.set_parameters()
Multinoulli
Multinoulli.check_parameters()
Multinoulli.encode_features()
Multinoulli.get_default_feature_names()
Multinoulli.get_n_features()
Multinoulli.get_parameters()
Multinoulli.get_parameters_df()
Multinoulli.initialize()
Multinoulli.log_likelihood()
Multinoulli.m_step()
Multinoulli.n_parameters
Multinoulli.permute_classes()
Multinoulli.predict()
Multinoulli.predict_proba()
Multinoulli.print_parameters()
Multinoulli.sample()
Multinoulli.set_parameters()
MultinoulliNan
MultinoulliNan.check_parameters()
MultinoulliNan.encode_features()
MultinoulliNan.get_default_feature_names()
MultinoulliNan.get_n_features()
MultinoulliNan.get_parameters()
MultinoulliNan.get_parameters_df()
MultinoulliNan.initialize()
MultinoulliNan.log_likelihood()
MultinoulliNan.m_step()
MultinoulliNan.n_parameters
MultinoulliNan.permute_classes()
MultinoulliNan.predict()
MultinoulliNan.predict_proba()
MultinoulliNan.print_parameters()
MultinoulliNan.sample()
MultinoulliNan.set_parameters()
- Gaussian
Gaussian
Gaussian.check_parameters()
Gaussian.get_default_feature_names()
Gaussian.get_parameters()
Gaussian.get_parameters_df()
Gaussian.initialize()
Gaussian.log_likelihood()
Gaussian.m_step()
Gaussian.n_parameters
Gaussian.permute_classes()
Gaussian.predict()
Gaussian.predict_proba()
Gaussian.print_parameters()
Gaussian.sample()
Gaussian.set_parameters()
GaussianDiag
GaussianDiag.check_parameters()
GaussianDiag.get_default_feature_names()
GaussianDiag.get_parameters()
GaussianDiag.get_parameters_df()
GaussianDiag.initialize()
GaussianDiag.log_likelihood()
GaussianDiag.m_step()
GaussianDiag.n_parameters
GaussianDiag.permute_classes()
GaussianDiag.predict()
GaussianDiag.predict_proba()
GaussianDiag.print_parameters()
GaussianDiag.sample()
GaussianDiag.set_parameters()
GaussianDiagNan
GaussianDiagNan.check_parameters()
GaussianDiagNan.get_default_feature_names()
GaussianDiagNan.get_parameters()
GaussianDiagNan.get_parameters_df()
GaussianDiagNan.initialize()
GaussianDiagNan.log_likelihood()
GaussianDiagNan.m_step()
GaussianDiagNan.n_parameters
GaussianDiagNan.permute_classes()
GaussianDiagNan.predict()
GaussianDiagNan.predict_proba()
GaussianDiagNan.print_parameters()
GaussianDiagNan.sample()
GaussianDiagNan.set_parameters()
GaussianFull
GaussianFull.check_parameters()
GaussianFull.get_default_feature_names()
GaussianFull.get_parameters()
GaussianFull.get_parameters_df()
GaussianFull.initialize()
GaussianFull.log_likelihood()
GaussianFull.m_step()
GaussianFull.n_parameters
GaussianFull.permute_classes()
GaussianFull.predict()
GaussianFull.predict_proba()
GaussianFull.print_parameters()
GaussianFull.sample()
GaussianFull.set_parameters()
GaussianNan
GaussianNan.check_parameters()
GaussianNan.get_default_feature_names()
GaussianNan.get_parameters()
GaussianNan.get_parameters_df()
GaussianNan.initialize()
GaussianNan.log_likelihood()
GaussianNan.m_step()
GaussianNan.n_parameters
GaussianNan.permute_classes()
GaussianNan.predict()
GaussianNan.predict_proba()
GaussianNan.print_parameters()
GaussianNan.sample()
GaussianNan.set_parameters()
GaussianSpherical
GaussianSpherical.check_parameters()
GaussianSpherical.get_default_feature_names()
GaussianSpherical.get_parameters()
GaussianSpherical.get_parameters_df()
GaussianSpherical.initialize()
GaussianSpherical.log_likelihood()
GaussianSpherical.m_step()
GaussianSpherical.n_parameters
GaussianSpherical.permute_classes()
GaussianSpherical.predict()
GaussianSpherical.predict_proba()
GaussianSpherical.print_parameters()
GaussianSpherical.sample()
GaussianSpherical.set_parameters()
GaussianSphericalNan
GaussianSphericalNan.check_parameters()
GaussianSphericalNan.get_default_feature_names()
GaussianSphericalNan.get_parameters()
GaussianSphericalNan.get_parameters_df()
GaussianSphericalNan.initialize()
GaussianSphericalNan.log_likelihood()
GaussianSphericalNan.m_step()
GaussianSphericalNan.n_parameters
GaussianSphericalNan.permute_classes()
GaussianSphericalNan.predict()
GaussianSphericalNan.predict_proba()
GaussianSphericalNan.print_parameters()
GaussianSphericalNan.sample()
GaussianSphericalNan.set_parameters()
GaussianTied
GaussianTied.check_parameters()
GaussianTied.get_default_feature_names()
GaussianTied.get_parameters()
GaussianTied.get_parameters_df()
GaussianTied.initialize()
GaussianTied.log_likelihood()
GaussianTied.m_step()
GaussianTied.n_parameters
GaussianTied.permute_classes()
GaussianTied.predict()
GaussianTied.predict_proba()
GaussianTied.print_parameters()
GaussianTied.sample()
GaussianTied.set_parameters()
GaussianUnit
GaussianUnit.check_parameters()
GaussianUnit.get_default_feature_names()
GaussianUnit.get_parameters()
GaussianUnit.get_parameters_df()
GaussianUnit.initialize()
GaussianUnit.log_likelihood()
GaussianUnit.m_step()
GaussianUnit.n_parameters
GaussianUnit.permute_classes()
GaussianUnit.predict()
GaussianUnit.predict_proba()
GaussianUnit.print_parameters()
GaussianUnit.sample()
GaussianUnit.set_parameters()
GaussianUnitNan
GaussianUnitNan.check_parameters()
GaussianUnitNan.get_default_feature_names()
GaussianUnitNan.get_parameters()
GaussianUnitNan.get_parameters_df()
GaussianUnitNan.initialize()
GaussianUnitNan.log_likelihood()
GaussianUnitNan.m_step()
GaussianUnitNan.n_parameters
GaussianUnitNan.permute_classes()
GaussianUnitNan.predict()
GaussianUnitNan.predict_proba()
GaussianUnitNan.print_parameters()
GaussianUnitNan.sample()
GaussianUnitNan.set_parameters()
- Covariate
Covariate
Covariate.check_parameters()
Covariate.get_default_feature_names()
Covariate.get_full_matrix()
Covariate.get_parameters()
Covariate.get_parameters_df()
Covariate.initialize()
Covariate.log_likelihood()
Covariate.m_step()
Covariate.n_parameters
Covariate.permute_classes()
Covariate.predict()
Covariate.predict_proba()
Covariate.print_parameters()
Covariate.sample()
Covariate.set_parameters()
- Nested
Nested
Nested.check_parameters()
Nested.get_default_feature_names()
Nested.get_parameters()
Nested.get_parameters_df()
Nested.initialize()
Nested.log_likelihood()
Nested.m_step()
Nested.n_parameters
Nested.permute_classes()
Nested.predict()
Nested.predict_proba()
Nested.print_parameters()
Nested.sample()
Nested.set_parameters()
- Categorical
- Datasets
- StepMix