add a new table into doc and return the new table's idx

Dirichlet prior on the per-document super topic distributions in shape `[k1]` (read-only) .. versionadded:: 0.9.0

a `list` of eta parameters(topic distribution) for the current document (for only `tomotopy.models.DTModel` model, read-only) .. versionadded:: 0.7.0

Return correlations between the topic `topic_id` and other topics. The returned value is a `list` of `float`s of size `tomotopy.models.LDAModel.k`. P

.. versionadded:: 0.1.4 Return the `top_n` sub topics and their probabilities in the super topic `super_topic_id`. The return type is a `list` of (su

Return the `top_n` words and their probabilities in the topic `topic_id`. The return type is a `list` of (word:`str`, probability:`float`). Paramete

Return a new `tomotopy.utils.Document` instance for an unseen document with `words` that can be used for `tomotopy.models.LDAModel.infer` method. Par

Save the model instance to file `filename`. Return `None`. If `full` is `True`, the model with its all documents and state will be saved. If you want

------------------------------------------------------------ Compute y_l from y_k

.. versionadded:: 0.6.0 This type provides an implementation of First-order Relevance for topic labeling based on the following papers: > * Mei, Q.,

if __GNUC__ > 4 || __GNUC__ == 4 && __GNUC_MINOR__ >= 4

Add a new document into the model instance with `labels` and return an index of the inserted document. Parameters ---------- words : Iterable[str]

Add a new document into the model instance with `timepoint` and return an index of the inserted document. Parameters ---------- words : Iterable[str]

iterators:

Checking the validity of LBFGS parameters. An `std::invalid_argument` exception will be thrown if some parameter is invalid.

Return a list of topic IDs with children of a topic `topic_id`. Parameters ---------- topic_id : int an integer in range [0, `k`) indicating the