Fixed - The `tune` methods only need to produce comprehensive reports automatically for the best run
0.1.5
Changed - Updated core dependencies for better compatibility with Databricks ML Runtime 15.2 - Dynamic package versioning
0.1.4
Changed - Improved documentation clarity - Updated Python version badge to explicitly show supported versions (3.10, 3.11, 3.12)
Fixed - Fixed PyPI badge reliability by switching to badge.fury.io
0.1.3
Changed - Updated README.md with improved documentation and images - Updated PyPI badge to use shields.io for better reliability
Fixed - None
0.1.2
Added - Added pytest-cov for code coverage reporting - Added comprehensive test assertions for pipeline evaluation results
Changed - Improved test structure with proper assertions instead of return statements - Added warning filters in pytest.ini to suppress third-party deprecation warnings - Improved code formatting with black (line length set to 88)
Fixed - None
0.1.1
Fixed - Added `setuptools` as a dependency to fix compatibility issues with hyperopt's ATPE module - This fix is particularly important for Python 3.12+ users where setuptools is not automatically installed