Upload rf_gaia_teff_corrected_log_20251126_130144_metadata.json with huggingface_hub

rf_gaia_teff_corrected_log_20251126_130144_metadata.json

@@ -0,0 +1,65 @@
+{
+  "model_id": "rf_gaia_teff_corrected_log_20251126_130144",
+  "timestamp": "20251126_130144",
+  "model_name": "Gaia \u2192 log(Corrected Teff)",
+  "description": "Temperature prediction using Gaia photometry on corrected and log-transformed Teff",
+  "model_type": "RandomForestRegressor",
+  "n_features": 6,
+  "features": [
+    "g",
+    "bp",
+    "rp",
+    "bp_rp",
+    "g_bp",
+    "g_rp"
+  ],
+  "data_source": "gaia_all_colors_teff_corrected.parquet",
+  "target": "teff_gaia_corrected_log",
+  "target_transform": "none",
+  "train_metrics": {
+    "mae": 0.03702315837236848,
+    "rmse": 0.05967808668708509,
+    "r2": 0.7285408623726284,
+    "mean_relative_error": 0.9789498319864837,
+    "within_5_percent": 98.16794850195704,
+    "within_10_percent": 99.92996595267853,
+    "within_20_percent": 100.0,
+    "n_samples": 1020932
+  },
+  "test_metrics": {
+    "mae": 0.041098999238153675,
+    "rmse": 0.06608836781262523,
+    "r2": 0.665321911952044,
+    "mean_relative_error": 1.0864054906608058,
+    "within_5_percent": 97.5054263930354,
+    "within_10_percent": 99.87775923270411,
+    "within_20_percent": 100.0,
+    "n_samples": 255234
+  },
+  "hyperparameters": {
+    "n_estimators": 300,
+    "max_depth": 20,
+    "min_samples_split": 10,
+    "min_samples_leaf": 5,
+    "max_features": "sqrt",
+    "random_state": 42,
+    "n_jobs": -1,
+    "verbose": 0
+  },
+  "config_file": "config/models/gaia_teff_corrected_log.yaml",
+  "data_config": {
+    "source_file": "gaia_all_colors_teff_corrected.parquet",
+    "source_format": "parquet",
+    "source_location": "processed",
+    "target": "teff_gaia_corrected_log",
+    "features": [
+      "g",
+      "bp",
+      "rp",
+      "bp_rp",
+      "g_bp",
+      "g_rp"
+    ],
+    "id_column": "source_id"
+  }
+}