update

docs/rain_prediction.md

@@ -90,7 +90,7 @@ All examples below assume a 4-hour horizon (`--horizon-hours 4`) and `model-name
 ```sh
 export DATABASE_URL="postgres://postgres:postgres@localhost:5432/micrometeo?sslmode=disable"
 
-python scripts/audit_rain_data.py \
+scripts/rainml_py.sh scripts/audit_rain_data.py \
   --site home \
   --start "2026-02-01T00:00:00Z" \
   --end "2026-03-03T23:55:00Z" \
@@ -100,7 +100,7 @@ python scripts/audit_rain_data.py \
 
 ### 3) Train baseline model
 ```sh
-python scripts/train_rain_model.py \
+scripts/rainml_py.sh scripts/train_rain_model.py \
   --site "home" \
   --start "2026-02-01T00:00:00Z" \
   --end "2026-03-03T23:55:00Z" \
@@ -117,7 +117,7 @@ python scripts/train_rain_model.py \
 
 ### 3b) Train expanded (P1) feature-set model
 ```sh
-python scripts/train_rain_model.py \
+scripts/rainml_py.sh scripts/train_rain_model.py \
   --site "home" \
   --start "2026-02-01T00:00:00Z" \
   --end "2026-03-03T23:55:00Z" \
@@ -132,7 +132,7 @@ python scripts/train_rain_model.py \
 
 ### 3b.1) Train expanded + calendar (P2) feature-set model
 ```sh
-python scripts/train_rain_model.py \
+scripts/rainml_py.sh scripts/train_rain_model.py \
   --site "home" \
   --start "2026-02-01T00:00:00Z" \
   --end "2026-03-03T23:55:00Z" \
@@ -146,7 +146,7 @@ python scripts/train_rain_model.py \
 
 ### 3c) Train tree-based baseline (P1)
 ```sh
-python scripts/train_rain_model.py \
+scripts/rainml_py.sh scripts/train_rain_model.py \
   --site "home" \
   --start "2026-02-01T00:00:00Z" \
   --end "2026-03-03T23:55:00Z" \
@@ -161,7 +161,7 @@ python scripts/train_rain_model.py \
 
 ### 3d) Auto-compare logistic vs tree baseline
 ```sh
-python scripts/train_rain_model.py \
+scripts/rainml_py.sh scripts/train_rain_model.py \
   --site "home" \
   --start "2026-02-01T00:00:00Z" \
   --end "2026-03-03T23:55:00Z" \
@@ -175,7 +175,7 @@ python scripts/train_rain_model.py \
 
 ### 3e) Full P1 evaluation (tuning + calibration + walk-forward)
 ```sh
-python scripts/train_rain_model.py \
+scripts/rainml_py.sh scripts/train_rain_model.py \
   --site "home" \
   --start "2026-02-01T00:00:00Z" \
   --end "2026-03-03T23:55:00Z" \
@@ -194,7 +194,7 @@ python scripts/train_rain_model.py \
 
 ### 3f) Walk-forward threshold policy (more temporally robust alert threshold)
 ```sh
-python scripts/train_rain_model.py \
+scripts/rainml_py.sh scripts/train_rain_model.py \
   --site "home" \
   --start "2026-02-01T00:00:00Z" \
   --end "2026-03-03T23:55:00Z" \
@@ -210,7 +210,7 @@ python scripts/train_rain_model.py \
 
 ### 4) Run inference and store prediction
 ```sh
-python scripts/predict_rain_model.py \
+scripts/rainml_py.sh scripts/predict_rain_model.py \
   --site home \
   --model-path "models/rain_model.pkl" \
   --model-name "rain_next_4h" \
@@ -252,7 +252,7 @@ docker compose logs -f rainml
 
 ### 7) Recommend deploy candidate from saved reports
 ```sh
-python scripts/recommend_rain_model.py \
+scripts/rainml_py.sh scripts/recommend_rain_model.py \
   --reports-glob "models/rain_model_report*.json" \
   --require-walk-forward \
   --top-k 5 \