Documentation Contents
NumpyroModel
NumpyroModel.Metrics
NumpyroModel.estimated_params
NumpyroModel.D
NumpyroModel.V
NumpyroModel.batch_size
NumpyroModel.counts
NumpyroModel.vocab
NumpyroModel.K
NumpyroModel.train_step()
NumpyroModel.return_topics()
NumpyroModel.return_beta()
NumpyroModel.return_top_words_per_topic()
NumpyroModel.plot_model_loss()
NumpyroModel.plot_topic_wordclouds()
NumpyroModel.summary()
NumpyroModel.compute_topic_coherence()
NumpyroModel.compute_topic_diversity()
NumpyroModel.plot_topic_prevalence()
NumpyroModel.plot_topic_correlation()
NumpyroModel.plot_document_topic_heatmap()
PF
PF.D
PF.V
PF.K
PF.counts
PF.vocab
SPF
SPF.D
SPF.V
SPF.K
SPF.counts
SPF.vocab
SPF.keywords
SPF.residual_topics
SPF.return_topics()
SPF.return_beta()
SPF.plot_seed_effectiveness()
CPF
CPF.D
CPF.V
CPF.K
CPF.C
CPF.counts
CPF.vocab
CPF.X_design_matrix
CPF.return_covariate_effects()
CPF.return_covariate_effects_ci()
CPF.plot_cov_effects()
CSPF
CSPF.return_topics()
CSPF.return_beta()
CSPF.return_covariate_effects()
CSPF.return_covariate_effects_ci()
CSPF.plot_cov_effects()
TBIP
TBIP.train_step()
TBIP.return_topics()
TBIP.return_beta()
TBIP.return_ideal_points()
TBIP.return_ideological_words()
TBIP.plot_ideal_points()