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Releases: codeastra2/llm-feat

Update python version to 3.10

05 Jan 14:26

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  • Relaxed python version requirements from 3.10.17 to 3.10.
  • Added usage screenshots in readme

Added Sphinx documentation for Read the Docs

05 Jan 14:09

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Changes in 0.2.2

  • Added Sphinx documentation for Read the Docs
  • Added API documentation with complete parameter reference
  • Added feature report generation documentation

Fix Feature report printing and include model perf improvement example

04 Jan 22:32

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  • Fixes to print the feature report printing so that it is more readable.
  • Added example_model_perf.ipynb to showcase improvement in performance after adding LLM generated features.

Include Feature report and Problem description in API

29 Dec 16:03

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  • Added option to pass context to LLM using the problem description
  • Added feature report generation to API to describe problem domain context and also description of generated features.

Alpha release

27 Dec 11:08

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llm-feat pypi package release with the following functionalities:

  • pip installation possible from this release.
  • Automated feature code generation for ML/DL tabular data powered by LLMs.
  • Direct feature code injection in Jupyter notebooks and direct addition of features to pandas dataframes.