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CHANGELOG.txt
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=====================
TextWiser CHANGELOG
=====================
-------------------------------------------------------------------------------
Dec 9, 2024 2.0.2
-------------------------------------------------------------------------------
minor:
- Updated SVD tests to fix the directional instability of eigen vectors
-------------------------------------------------------------------------------
Sep 9, 2024 2.0.1
-------------------------------------------------------------------------------
minor:
- Added `bpemb` to requirements as it is no longer a mandatory requirement for flair
-------------------------------------------------------------------------------
May 30, 2024 2.0.0
-------------------------------------------------------------------------------
major:
- Update CI test environment to Python 3.8, 3.9, 3.10, 3.11 and drop 3.7
- Remove support for Python 3.6 and Python 3.7
- Fix scipy version temporarily until `gensim` releases a patch for the following issue
Source: https://github.com/piskvorky/gensim/issues/3525
- Temporarily commented three tests in `test_doc2vec.py` for the same reason above
Source: https://github.com/fidelity/textwiser/blob/master/tests/test_doc2vec.py
-------------------------------------------------------------------------------
Feb 13, 2024 1.5.1
-------------------------------------------------------------------------------
minor:
- Change the binary parameter of sklearn models to be a boolean
Source: https://github.com/fidelity/textwiser/blob/2eb5d19c82f357e6d8e3fce5f4aa65bf71312100/textwiser/embeddings/random.py#L41
- Fix a test issue caused by umap fit_transform
The issue is caused by the new scipy version. So, issue is fixed by commenting the assertion and adding the version with which it would pass
Source: https://github.com/fidelity/textwiser/blob/fix/failed_tests/tests/test_umap.py#L23
-------------------------------------------------------------------------------
Dec 19, 2022 1.5.0
-------------------------------------------------------------------------------
major:
- Utilize ELMo from TFHub and remove allennlp dependency
-------------------------------------------------------------------------------
Mar 03, 2022 1.4.0
-------------------------------------------------------------------------------
major:
- Update UMAP to return deterministic output in latest version
Source: https://github.com/fidelity/textwiser/blob/39bad042104c41d0d57174b49941882af79cc3db/textwiser/transformations/umap_.py#L23
- Update SVD to return deterministic output
Source: https://github.com/fidelity/textwiser/blob/39bad042104c41d0d57174b49941882af79cc3db/textwiser/transformations/svd.py#L26
- Update Word2Vec and Doc2Vec with latest gensim training
Source: https://github.com/fidelity/textwiser/blob/39bad042104c41d0d57174b49941882af79cc3db/textwiser/embeddings/word.py#L204
Source: https://github.com/fidelity/textwiser/blob/39bad042104c41d0d57174b49941882af79cc3db/textwiser/embeddings/doc2vec.py#L25
minor:
- Disable non-relevant transformers warning
- Add full requirement install option (see requirements_full.txt)
- Make gensim requirement explicit instead of relying on flair's dependency tree
- Directly utilize ELMo from allennlp instead of flair by bumping allennlp requirement
-------------------------------------------------------------------------------
Feb 23, 2022 1.3.2
-------------------------------------------------------------------------------
minor:
- Added upper bound for flair (less or equal to 0.9) to pass python3.9 unit tests
-------------------------------------------------------------------------------
Jan 21, 2021 1.3.1
-------------------------------------------------------------------------------
minor:
- Updated dependency requirements to reflect updates to Flair library
-------------------------------------------------------------------------------
Jul 22, 2020 1.3.0
-------------------------------------------------------------------------------
major:
- Added T5, XLM-RoBERTa, BART, ECELTRA, DialoGPT, Longformer embeddings
- Added inline pooling for Word embeddings to make some pooling scenarios faster
minor:
- Updated basic usage notebook
- Updated preferred method of persistence & examples
- SVD now properly appears in model parameters and can be fine-tuned
-------------------------------------------------------------------------------
Mar 12, 2020 1.2.1
-------------------------------------------------------------------------------
minor:
- Fix transformers model initialization for newer versions of transformers
-------------------------------------------------------------------------------
Feb 13, 2020 1.2.0
-------------------------------------------------------------------------------
major:
- Update Universal Sentence Encoder
- Now works with newer versions
- Default version is now v5
- Add bytepair embeddings
- Add ALBERT embeddings
minor:
- Add explicit fit_transform method to Compound embeddings to make them faster
-------------------------------------------------------------------------------
Nov 13, 2019 1.1.1
-------------------------------------------------------------------------------
minor:
- Fix running transformers models on a GPU
- Fix modification of input schema object for Compound embeddings
-------------------------------------------------------------------------------
Oct 24, 2019 1.1.0
-------------------------------------------------------------------------------
major:
- All transformer-based models are powered by the transformers library
- This enables fine-tuning for transformer models!
- There isn't a subword to word level aggregation, everything is aggregated at doc level
- The models output the last layer by default
- The scalar mix parameter is discontinued
- Add DistilBERT and CTRL models
- Add Sphinx documentation
- Add LICENSE
minor:
- More modular word embedding testing
-------------------------------------------------------------------------------
Oct 3, 2019 1.0.1
-------------------------------------------------------------------------------
major:
- Data in different structures are only converted to torch tensor if necessary (major speedup for sklearn models!)
minor:
- Fix word2vec fit behavior to match other trainable models
- Add explicit fit_transform to TextWiser for faster inference with sklearn models
-------------------------------------------------------------------------------
Sept 27, 2019 1.0.0
-------------------------------------------------------------------------------
- Initial release.
-------------------------------------------------------------------------------
July 29, 2019 0.0.1
-------------------------------------------------------------------------------
- Development starts. Unstable.