8.15.3

8.15.3 (2024-10-09)

• Added support for DeBERTa-V2 tokenizer (#717)
• Fixed --ca-cert with a shared Elasticsearch Docker volume (#732)

8.15.2

• Fixed Docker image build (#728)

8.15.1

• Upgrade PyTorch to version 2.3.1, which is compatible with Elasticsearch 8.15.2 or above (#718)
• Migrate to distroless Wolfi base Docker image (#720)

8.15.0

• Added a default truncation of second for text similarity (#713)
• Added note about using text_similarity for rerank in the CLI (#716)
• Added support for lists in result hits (#707)
• Removed input fields from exported LTR models (#708)

8.14.0

Added

• Added Elasticsearch Serverless support in DataFrames (#690, contributed by @AshokChoudhary11) and eland_import_hub_model (#698)

Fixed

• Fixed Python 3.8 support (#695, contributed by @bartbroere)
• Fixed non _source fields missing from the results hits (#693, contributed by @bartbroere)

8.13.1

Added

• Added support for HTTP proxies in eland_import_hub_model (#688)

8.13.0

Added

• Added support for Python 3.11 (#681)
• Added eland.DataFrame.to_json function (#661, contributed by @bartbroere)
• Added override option to specify the model's max input size (#674)

Changed

• Upgraded torch to 2.1.2 (#671)
• Mirrored pandas' lineterminator instead of line_terminator in to_csv (#595, contributed by @bartbroere)

8.12.1

Fixed

• Fix missing value support for XGBRanker (#654)

8.12.0

Added

• Supported XGBRanker model (#649)
• Accepted LTR (Learning to rank) model config when importing model (#645, #651)
• Added LTR feature logger (#648)
• Added prefix_string config option to the import model hub script (#642)
• Made online retail analysis notebook runnable in Colab (#641)
• Added new movie dataset to the tests (#646)

8.11.1

Added

• Make demo notebook runnable in Colab (#630)

Changed

• Bump Shap version to 0.43 (#636)

Fixed

• Fix failed import of Sentence Transformer RoBERTa models (#637)