History¶
2.2.0 (2021-09-??)¶
introducing kitty
improving the documentation a lot
2.1.2 (2021-09-03)¶
2.1.0 (2021-07-16)¶
new model introduced SuperCTM
new model introduced β-CTM
2.0.0 (2021-xx-xx)¶
- warning, breaking changes were introduced:
the order of the parameters in CTMDataset was changed (now first is contextual embeddings)
CTM takes in input bow_size, contextual_size instead of input_size and bert_size
changed the name of the parameters in the dataset
introduced early stopping
introduced visualization with pyldavis
1.8.2 (2021-02-08)¶
removed constraint over pytorch version. This should solve problems for Windows users
1.8.0 (2021-01-11)¶
novel way to handle text, we now allow for an easy usage of training and testing data
better visualization of the training progress and of the sampling process
removed old stuff from the documentation
1.7.1 (2020-12-17)¶
some minor updates to the documentation
adding a new method to visualize the topic using a wordcloud
save and load will now generate a warning since the feature has not been tested
1.7.0 (2020-12-10)¶
adding a new and much simpler way to handle text for topic modeling
1.6.0 (2020-11-03)¶
introducing the two different classes for ZeroShotTM and CombinedTM
depracating CTM class in favor of ZeroShotTM and CombinedTM
1.5.3 (2020-11-03)¶
adding support for Windows encoding by defaulting file load to UTF-8
1.5.2 (2020-11-03)¶
updated sentence-transformers version to 0.3.6
beta support for model saving and loading
new evaluation metrics based on coherence
1.5.0 (2020-09-14)¶
Introduced a method to predict the topics for a set of documents (supports multiple sampling to reduce variation)
Adding some features to bert embeddings creation like increased batch size and progress bar
Supporting training directly from lists without the need to deal with files
Adding a simple quick preprocessing pipeline
1.4.3 (2020-09-03)¶
Updating sentence-transformers package to avoid errors
1.4.2 (2020-08-04)¶
Changed the encoding on file load for the SBERT embedding function
1.4.1 (2020-08-04)¶
Fixed bug over sparse matrices
1.4.0 (2020-08-01)¶
New feature handling sparse bow for optimized processing
New method to return topic distributions for words
1.0.0 (2020-04-05)¶
Released models with the main features implemented
0.1.0 (2020-04-04)¶
First release on PyPI.