models.basemodel – Core TM interface

models.basemodel – Core TM interface

class gensim.models.basemodel.BaseTopicModel

Bases: object

get_topics()

Get words X topics matrix.

Returns

The term topic matrix learned during inference, shape (num_topics, vocabulary_size).

Return type

numpy.ndarray

Raises

NotImplementedError –

print_topic(topicno, topn=10)

Get a single topic as a formatted string.

Parameters

• topicno (int) – Topic id.

• topn (int) – Number of words from topic that will be used.

Returns

String representation of topic, like ‘-0.340 * “category” + 0.298 * “$M$” + 0.183 * “algebra” + … ‘.

Return type

str

print_topics(num_topics=20, num_words=10)

Get the most significant topics (alias for show_topics() method).

Parameters

• num_topics (int, optional) – The number of topics to be selected, if -1 - all topics will be in result (ordered by significance).

• num_words (int, optional) – The number of words to be included per topics (ordered by significance).

Returns

Sequence with (topic_id, [(word, value), … ]).

Return type

list of (int, list of (str, float))