bitermplus: v0.7.0

This release introduces minor fixes and improvements of documentation and metrics calculation. Its packaging is now based on pyproject.toml and setuptools.

bitermplus: v0.6.12

This release contains some minor fixes and adds labels_ property to BTM model class (labels for the most probable topics for each of the documents). It also adds get_docs_top_topic method for creating DataFrames with documents and their labels.

bitermplus: v0.6.11

This release fixes the incompatibility error between bitermplus and scikit-learn.

bitermplus: v0.6.10

This release includes a number of minor fixes. Methods to select stable topics have been moved to tmplot package. Please see the updated tutorial in the documentation.

bitermplus: v0.6.9

This release introduces a function for Renyi entropy calculation (bitermplus.entropy) that can be used to estimate the optimal number of topics. For more details, read this paper.

bitermplus: v0.6.8

This release is an attempt to fix the issue with perplexity calculation yielding infinity values (#7).

bitermplus: v0.6.7

This release drops support for pyLDAvis in favor of tmplot that can be installed with pip (optional):

pip install tmplot

bitermplus: v0.6.6

This release exposes new model attributes: matrix_topics_docs_, matrix_words_topics_, and df_words_topics_ (words vs topics probabilities in a DataFrame).

bitermplus: v0.6.5

This release fixes a critical bug in the closest topics selection (get_closest_topics method).

bitermplus: v0.6.4

This release includes memory optimizations and new metrics for topics distance measuring (see get_closest_topics method).