v0.5.2: dash v3 and plotly v6 compatibility + dtreeviz fixes

Version 0.5.2:

Breaking Changes

• Dropped support for Python 3.8 and 3.9 (Python 3.9 reached end-of-life). Minimum Python version is now 3.10
• Now explicitly supports and tests on Python 3.10, 3.11, 3.12, and 3.13

Improvements

• Removed upper version constraints for dash and plotly dependencies, now supports Dash 2.10+ and 3.0+, and Plotly 5.0+ and 6.0+
• Added backward compatibility code to support both Dash 2.x (app.run_server()) and Dash 3.x (app.run()) APIs
• Fixed Plotly 6.0 compatibility by updating titlefont to title.font format
• Improved integration test setup with automatic ChromeDriver management via webdriver-manager
• Fixed threading issues with Plotly validator initialization by switching to recommended plotly.graph_objects import
• Made torch and skorch optional dependencies on Intel Macs (where torch wheels are not available)

Bug Fixes

• Fixed SystemExit warnings in integration tests caused by Plotly validator initialization in multi-threaded contexts
• Updated .gitignore to exclude webdriver-manager cache directories and uv.lock file
• XGBoost 3.1+ compatibility: Fixed handling of string-formatted predictions and base_score values returned by XGBoost 3.1+. Added robust string-to-numeric conversion with proper regex fallback to handle various string formats (e.g., '[3.2967056E1]', '[8.563135E-2,7.169811E-1,1.9738752E-1]')
• XGBoost SHAP initialization: Fixed base_score conversion in both get_params() and booster's internal JSON configuration to ensure SHAP TreeExplainer initializes correctly with XGBoost 3.1+
• RandomForest dtreeviz compatibility: Fixed dtype handling for y_train (now uses int instead of int16) and observation array conversion for predict_path() to work with newer dtreeviz versions
• Dtreeviz decisiontree_view: Ensure observations are passed as numpy arrays to avoid pandas label lookup errors when dtreeviz indexes features by integer position
• PyPI packaging: Removed duplicate wheel entries from hatchling build config to fix "Duplicate filename in local headers" upload errors
• Pandas deprecation warnings: Removed deprecated pd.option_context("future.no_silent_downcasting") and copy=False parameter from .infer_objects() calls
• Runtime warnings: Fixed divide-by-zero warnings in classification plots and residuals plots (log-ratio calculations) by adding proper zero checks and using np.divide() with where parameter