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)

8.11.0

Added

• Support E5 small multilingual model (#625)

Changed

• Stream writes in ed.DataFrame.to_csv() (#579)
• Improve memory estimation for NLP models (#568)

Fixed

• Fixed deprecations in preparation of Pandas 2.0 support (#602, #603, contributed by @bartbroere)

8.10.1

Fixed

• Fixed direct usage of TransformerModel (#619)

8.10.0

Added

• Published pre-built Docker images to docker.elastic.co/eland/eland (#613)
• Allowed importing private HuggingFace models (#608)
• Added Apple Silicon (arm64) support to Docker image (#615)
• Allowed importing some DPR models like ance-dpr-context-multi (#573)
• Allowed using the Pandas API without monitoring/main permissions (#581)

Changed

• Updated Docker image to Debian 12 Bookworm (#613)
• Reduced Docker image size by not installing unused PyTorch GPU support on amd64 (#615)
• Reduced model chunk size to 1MB (#605)

Fixed

• Fixed deprecations in preparation of Pandas 2.0 support (#593, #596)

Release 8.9.0

Added

• Simplify embedding model support and loading #569
• Make eland_import_hub_model easier to find on Windows #559
• Update trained model inference endpoint #556
• Add BertJapaneseTokenizer support with bert_ja tokenization configuration #534
• Add ability to upload xlm-roberta tokenized models #518
• Tolerate different model output formats when measuring embedding size #535
• Generate valid NLP model id from file path #541
• Upgrade torch to 1.13.1 and check the cluster version before uploading a NLP model #522
• Set embedding_size config parameter for Text Embedding models #532
• Add support for the pass_through task #526

Fixed

• Fixed black to comply with the code style #557
• Fixed No module named 'torch' #553
• Fix autosummary directive by removing hack autosummaries #548
• Prevent TypeError with None check #525