Releases: codeastra2/llm-feat
Releases · codeastra2/llm-feat
Update python version to 3.10
- Relaxed python version requirements from 3.10.17 to 3.10.
- Added usage screenshots in readme
Added Sphinx documentation for Read the Docs
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
- 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
- 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
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.