train uvindex model

.idea/TesiPegaso.iml

@@ -5,7 +5,7 @@
       <sourceFolder url="file://$MODULE_DIR$/src" isTestSource="false" />
       <excludeFolder url="file://$MODULE_DIR$/models" />
     </content>
-    <orderEntry type="jdk" jdkName="ml_env" jdkType="Python SDK" />
+    <orderEntry type="jdk" jdkName="ml_pegaso" jdkType="Python SDK" />
     <orderEntry type="sourceFolder" forTests="false" />
   </component>
 </module>

.idea/misc.xml

@@ -3,7 +3,7 @@
   <component name="Black">
     <option name="sdkName" value="/usr/local/anaconda3" />
   </component>
-  <component name="ProjectRootManager" version="2" project-jdk-name="ml_env" project-jdk-type="Python SDK" />
+  <component name="ProjectRootManager" version="2" project-jdk-name="ml_pegaso" project-jdk-type="Python SDK" />
   <component name="PyCharmDSProjectLayout">
     <option name="id" value="JupyterRightHiddenStructureLayout" />
   </component>

src/models/uv_index/2024-11-20_11-04_features.json

@@ -0,0 +1 @@
+["temp", "humidity", "cloudcover", "visibility", "clear_sky_index", "atmospheric_transparency", "hour_sin", "hour_cos", "day_of_year_sin", "day_of_year_cos", "solar_angle", "solar_elevation", "day_length", "solar_noon", "solar_cloud_effect", "cloud_temp_interaction", "visibility_cloud_interaction", "temp_humidity_interaction", "solar_clarity_index", "cloud_rolling_12h", "temp_rolling_mean_6h", "season_Autumn", "season_Spring", "season_Summer", "season_Unknown", "season_Winter", "time_period_Afternoon", "time_period_Evening", "time_period_Morning", "time_period_Night"]

src/models/uv_index/2024-11-20_11-04_training_results.json

@@ -0,0 +1,27 @@
+{
+    "model_params": {
+        "input_shape": [
+            24,
+            30
+        ],
+        "n_features": 30,
+        "sequence_length": 24
+    },
+    "training_params": {
+        "batch_size": 128,
+        "total_epochs": 100,
+        "best_epoch": 99
+    },
+    "performance_metrics": {
+        "final_loss": 0.6100732088088989,
+        "final_mae": 0.4086560010910034,
+        "best_val_loss": 0.5982702970504761,
+        "out_of_range_predictions": 0
+    },
+    "prediction_stats": {
+        "n_predictions_added": 227879,
+        "mean_predicted_uv": 1.8527342081069946,
+        "min_predicted_uv": 0.00121828552801162,
+        "max_predicted_uv": 9.946621894836426
+    }
+}