[General Documentation about model classes]
Classes
| BeagleComposite(ctx_corp, ctx_matrix, ...[, ...]) | BeagleComposite combines the BEAGLE order and context model |
| BeagleContextMulti(corpus, env_corpus, ...) | |
| BeagleContextSeq(corpus, env_corpus, env_matrix) | |
| BeagleEnvironment(corpus[, n_cols, dtype, ...]) | BeagleEnvironment is a randomly generated fixed vectors |
| BeagleOrderMulti(corpus, env_matrix[, ...]) | BeagleOrderSeq stores word order information in the context. |
| BeagleOrderSeq(corpus, env_matrix[, ...]) | BeagleOrderSeq stores word order information in the context. |
| LdaCgsSeq([corpus, context_type, K, V, ...]) | An implementation of LDA using collapsed Gibbs sampling. |
| LdaCgsMulti([corpus, context_type, K, V, ...]) | An implementation of LDA using collapsed Gibbs sampling with multi-processing. |
| Lsa([td_matrix, dtype, context_type]) | |
| TfIdf([tf_matrix, dtype, context_type]) | Transforms a term-frequency model into a term-frequency inverse-document-frequency model. |
| TfMulti([corpus, context_type]) | Trains a term-frequency model. |
| TfSeq([corpus, context_type]) | Trains a term-frequency model. |