v0.37.5

0.37.5 (2023-07-22)

new:

• N/A

changed

• N/A

fixed:

• Removed pin on scikit-learn, as eli5-tf repo was updated to support scikit-learn>=1.3 (#505)
• pin to paper-qa==2.1.1 due to breaking changes (#506)

v0.37.4

0.37.4 (2023-07-22)

new:

• N/A

changed

• N/A

fixed:

• Temporarily pin to scikit-learn<1.3 to avoid eli5 import error (#505)
• Temporarily changed generative_qa imports to avoid `OPENAI_API_KEY error (#506)

v0.37.2

0.37.2 (2023-06-14)

new:

• N/A

changed

• text.models, vision.models, and tabular.models now all automatically set metrics to use binary_accuracy for multilabel problems (#500)

fixed:

• fix validate to support multilabel classification problems (#498)
• add a warning to TransformerPreprocessor.get_classifier to use binary_accuracy for multilabel problems (#498)

v0.37.1

0.37.1 (2023-06-05)

new:

• Supply arguments to generate in TransformerSummarizer.summarize

changed

• N/A

fixed:

• N/A

v0.37.0

0.37.0 (2023-05-11)

new:

• Support for Generative Question-Answering powered by OpenAI models, LangChain, and Paper-QA. Ask questions to any set of documents and get back answers with citations to where the answer was found in your documents.

changed

• N/A

fixed:

• N/A

v0.36.1

0.36.1 (2023-05-09)

new:

• N/A

changed

• N/A

fixed:

• resolved issue with using DeBERTa embedding models with NER (#492)

v0.36.0

0.36.0 (2023-04-21)

new:

• easy-to-use-wrapper for sentiment analysis

changed

• N/A

fixed:

• N/A

v0.35.1

0.35.1 (2023-04-02)

new:

• N/A

changed

• N/A

fixed:

• Ensure do_sample=True for GenerativeAI

v0.35.0

0.35.0 (2023-04-01)

new:

• Support for generative AI with few-shot and zero-shot prompting using a GPT-based model that can run on your own machine.

changed

• N/A

fixed:

• N/A

v0.34.0

0.34.0 (2023-03-30)

new:

• Support for LexRank summarization

changed

• N/A

fixed:

• Bug fix in dataset module (#486)