Release v0.2.2

What's Changed

• Experimental release by @AnFreTh in #115

Full Changelog: v0.2.1...v0.2.2

V0.2.1

Fix issue in TNTM model related to encoding documents.

Release v0.2.0

Version 0.2.0 includes several changes to improve the installation process, update dependencies, and enhance the functionality of the stream_topic package. The most important changes include modifying the installation instructions, updating the setup.py file to handle additional requirements and post-installation tasks, and making various improvements to the models.

Installation and Dependencies:

• README.md: Updated the installation instructions to use stream-topic instead of stream_topic and added instructions for installing additional requirements for add-ons like visualizations, BERTopic, and DCTE.
• setup.py: Added a PostInstallCommand class to handle downloading NLTK resources after installation and included extras_require for optional dependencies. [1] [2] [3] [4]

Model Improvements:

• stream_topic/metrics/coherence_metrics.py: Added a get_info method to provide information about the metric and removed the _load_default_texts function. [1] [2]
• stream_topic/models/DCTE.py: Implemented lazy imports for SetFit components to handle missing dependencies more gracefully and updated the fit method to use these components. [1] [2] [3]

Miscellaneous Changes:

• stream_topic/models/KmeansTM.py, stream_topic/models/bertopicTM.py, stream_topic/models/cbc.py: Updated the OneHotEncoder to use sparse_output=False instead of sparse=False for compatibility with newer versions of scikit-learn. [1] [2] [3]
• stream_topic/models/abstract_helper_models/base.py: Removed direct imports of optuna and added dynamic importing to handle missing dependencies. [1] [2]

V 0.1.9

New Model Addition

• Added the NSTM (Neural Topic Model via Optimal Transport) implementation in stream_topic
• Improved default settings for corpus expansion in CEDC
• Updated dependencies

v0.1.8 - Minor fixes

• Removing print statement in NAM
• Removing "predictions" column in NAM

v0.1.7

What's Changed

• Preprocessor fixes in updating preprocessing steps
• Increasing default values for n_words in tf-idf
• Fixing wordcloud visual bugs

Full Changelog: v0.1.6...v0.1.7

v0.1.6

What's Changed

• NMF by @AnFreTh in #85
• NMF release by @AnFreTh in #86

Full Changelog: v0.1.5...v0.1.6

Beta Release v0.1.5

Improving WordCluTM:
- Including pre-trained word embeddings
- Including automatic hparam optimization

Beta Release v0.1.4

Release version 0.1.4

Beta Release v.0.1.3

v0.1.3

adapt version