Repository Issue Activity (beta)

#573 Add Google TabFM (tabular foundation model) as an optional supervised model

#502 test: Add unit tests for core Polars operations and Pandas fallback

#506 feat: Ensure broader model compatibility with Polars data flow

#507 test: Adapt tests for all models to cover Polars execution path

#508 feat: Refactor complex Pandas operations to Polars in Supervised.py

#509 test: Add tests for complex Polars data manipulations

#510 docs: Investigate and propose configuration mechanism for engine choice

#511 test: Comprehensive testing for Polars integration including edge cases

#512 perf: Setup and run performance benchmarks for Polars vs Pandas

#513 refactor: Refine and optimize Polars implementation based on test/benchmark results

#523 Write test cases for results display UI (TDD)

#524 Fix child_process.exec mock issues in FileUtils.getDatasetColumns and runLazyPredictScript tests

#529 Fix extension activation error - file not found

#544 Support Python 3.14

#545 ValueError: too many values to unpack when passing list to 'regressors' parameter

#456 I am facing this issue while importing lazypredict

#419 Integrate polars for fast processing of dataframes

#410 Integrate sklego models and preprocessing

#411 Integrate feature_engine for feature engineering.

#526 Implement packaging and publishing steps

#528 Implement packaging and publishing steps

#525 Write test cases for packaging and publishing steps (TDD)

#527 Write test cases for packaging and publishing steps (TDD)

#420 Update documentation

#64 Option to choose categorical encoder