BillalHassan1144/wind-power-forecast

Fix runtime error: Pin XGBoost to 3.1.3 to match model version

Fix build error: Upgrade to Python 3.11 and resolve library version conflicts

Update XGBoost version and improve cold-start fallback logic

Fix XGBoost prediction handling in deployed app

fix(xgboost): use XGBRegressor with named DataFrames to correctly apply base_score in 2.1.4

fix: remove feature_names=None which was corrupting XGBoost 2.1.4 predictions

force fresh pip install for Hugging Face rebuild

trigger rebuild

fix: make predictions stateless by default, pin ML package versions, unify XGBoost inference path

Direct XGBoost Booster prediction to fix 0.0 issue on live site

Add debug_env endpoint and force update

Fix XGBoost: use version-independent JSON format

Add debug logging for live monitoring

Add Hugging Face Space metadata

Configure Git LFS for models

Optimize Dockerfile for Hugging Face Spaces

Add Dockerfile for free deployment

Revert "feat: add fancy ChartJS ensemble gauge and historic prediction timeline UI"

feat: add fancy ChartJS ensemble gauge and historic prediction timeline UI

feat: handle zero-drop history anomaly, tune fallback predictions, remove manual mode from frontend

Added favicon and input fileds validation

updated the webpage

Add README.md

Cleanup: Remove unnecessary test scripts and large data files

Initial commit: Wind Power Forecasting FastAPI app with fixed validation