StepMix - A Package for Stepwise Estimation of Mixture Models
Note
This project is under active development.
Contents
- Installation
- Tutorials
- API
- StepMix
StepMixStepMix.weights_StepMix._mmStepMix._smStepMix.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_parametersStepMix.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()
StepMixClassifierStepMixClassifier.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_parametersStepMixClassifier.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
BernoulliBernoulli.check_parameters()Bernoulli.get_default_feature_names()Bernoulli.get_parameters()Bernoulli.get_parameters_df()Bernoulli.initialize()Bernoulli.log_likelihood()Bernoulli.m_step()Bernoulli.n_parametersBernoulli.permute_classes()Bernoulli.predict()Bernoulli.predict_proba()Bernoulli.print_parameters()Bernoulli.sample()Bernoulli.set_parameters()
BernoulliNanBernoulliNan.check_parameters()BernoulliNan.get_default_feature_names()BernoulliNan.get_parameters()BernoulliNan.get_parameters_df()BernoulliNan.initialize()BernoulliNan.log_likelihood()BernoulliNan.m_step()BernoulliNan.n_parametersBernoulliNan.permute_classes()BernoulliNan.predict()BernoulliNan.predict_proba()BernoulliNan.print_parameters()BernoulliNan.sample()BernoulliNan.set_parameters()
MultinoulliMultinoulli.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_parametersMultinoulli.permute_classes()Multinoulli.predict()Multinoulli.predict_proba()Multinoulli.print_parameters()Multinoulli.sample()Multinoulli.set_parameters()
MultinoulliNanMultinoulliNan.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_parametersMultinoulliNan.permute_classes()MultinoulliNan.predict()MultinoulliNan.predict_proba()MultinoulliNan.print_parameters()MultinoulliNan.sample()MultinoulliNan.set_parameters()
- Gaussian
GaussianGaussian.check_parameters()Gaussian.get_default_feature_names()Gaussian.get_parameters()Gaussian.get_parameters_df()Gaussian.initialize()Gaussian.log_likelihood()Gaussian.m_step()Gaussian.n_parametersGaussian.permute_classes()Gaussian.predict()Gaussian.predict_proba()Gaussian.print_parameters()Gaussian.sample()Gaussian.set_parameters()
GaussianDiagGaussianDiag.check_parameters()GaussianDiag.get_default_feature_names()GaussianDiag.get_parameters()GaussianDiag.get_parameters_df()GaussianDiag.initialize()GaussianDiag.log_likelihood()GaussianDiag.m_step()GaussianDiag.n_parametersGaussianDiag.permute_classes()GaussianDiag.predict()GaussianDiag.predict_proba()GaussianDiag.print_parameters()GaussianDiag.sample()GaussianDiag.set_parameters()
GaussianDiagNanGaussianDiagNan.check_parameters()GaussianDiagNan.get_default_feature_names()GaussianDiagNan.get_parameters()GaussianDiagNan.get_parameters_df()GaussianDiagNan.initialize()GaussianDiagNan.log_likelihood()GaussianDiagNan.m_step()GaussianDiagNan.n_parametersGaussianDiagNan.permute_classes()GaussianDiagNan.predict()GaussianDiagNan.predict_proba()GaussianDiagNan.print_parameters()GaussianDiagNan.sample()GaussianDiagNan.set_parameters()
GaussianFullGaussianFull.check_parameters()GaussianFull.get_default_feature_names()GaussianFull.get_parameters()GaussianFull.get_parameters_df()GaussianFull.initialize()GaussianFull.log_likelihood()GaussianFull.m_step()GaussianFull.n_parametersGaussianFull.permute_classes()GaussianFull.predict()GaussianFull.predict_proba()GaussianFull.print_parameters()GaussianFull.sample()GaussianFull.set_parameters()
GaussianNanGaussianNan.check_parameters()GaussianNan.get_default_feature_names()GaussianNan.get_parameters()GaussianNan.get_parameters_df()GaussianNan.initialize()GaussianNan.log_likelihood()GaussianNan.m_step()GaussianNan.n_parametersGaussianNan.permute_classes()GaussianNan.predict()GaussianNan.predict_proba()GaussianNan.print_parameters()GaussianNan.sample()GaussianNan.set_parameters()
GaussianSphericalGaussianSpherical.check_parameters()GaussianSpherical.get_default_feature_names()GaussianSpherical.get_parameters()GaussianSpherical.get_parameters_df()GaussianSpherical.initialize()GaussianSpherical.log_likelihood()GaussianSpherical.m_step()GaussianSpherical.n_parametersGaussianSpherical.permute_classes()GaussianSpherical.predict()GaussianSpherical.predict_proba()GaussianSpherical.print_parameters()GaussianSpherical.sample()GaussianSpherical.set_parameters()
GaussianSphericalNanGaussianSphericalNan.check_parameters()GaussianSphericalNan.get_default_feature_names()GaussianSphericalNan.get_parameters()GaussianSphericalNan.get_parameters_df()GaussianSphericalNan.initialize()GaussianSphericalNan.log_likelihood()GaussianSphericalNan.m_step()GaussianSphericalNan.n_parametersGaussianSphericalNan.permute_classes()GaussianSphericalNan.predict()GaussianSphericalNan.predict_proba()GaussianSphericalNan.print_parameters()GaussianSphericalNan.sample()GaussianSphericalNan.set_parameters()
GaussianTiedGaussianTied.check_parameters()GaussianTied.get_default_feature_names()GaussianTied.get_parameters()GaussianTied.get_parameters_df()GaussianTied.initialize()GaussianTied.log_likelihood()GaussianTied.m_step()GaussianTied.n_parametersGaussianTied.permute_classes()GaussianTied.predict()GaussianTied.predict_proba()GaussianTied.print_parameters()GaussianTied.sample()GaussianTied.set_parameters()
GaussianUnitGaussianUnit.check_parameters()GaussianUnit.get_default_feature_names()GaussianUnit.get_parameters()GaussianUnit.get_parameters_df()GaussianUnit.initialize()GaussianUnit.log_likelihood()GaussianUnit.m_step()GaussianUnit.n_parametersGaussianUnit.permute_classes()GaussianUnit.predict()GaussianUnit.predict_proba()GaussianUnit.print_parameters()GaussianUnit.sample()GaussianUnit.set_parameters()
GaussianUnitNanGaussianUnitNan.check_parameters()GaussianUnitNan.get_default_feature_names()GaussianUnitNan.get_parameters()GaussianUnitNan.get_parameters_df()GaussianUnitNan.initialize()GaussianUnitNan.log_likelihood()GaussianUnitNan.m_step()GaussianUnitNan.n_parametersGaussianUnitNan.permute_classes()GaussianUnitNan.predict()GaussianUnitNan.predict_proba()GaussianUnitNan.print_parameters()GaussianUnitNan.sample()GaussianUnitNan.set_parameters()
- Covariate
CovariateCovariate.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_parametersCovariate.permute_classes()Covariate.predict()Covariate.predict_proba()Covariate.print_parameters()Covariate.sample()Covariate.set_parameters()
- Nested
NestedNested.check_parameters()Nested.get_default_feature_names()Nested.get_parameters()Nested.get_parameters_df()Nested.initialize()Nested.log_likelihood()Nested.m_step()Nested.n_parametersNested.permute_classes()Nested.predict()Nested.predict_proba()Nested.print_parameters()Nested.sample()Nested.set_parameters()
- Categorical
- Datasets
- StepMix