feat: implement comprehensive land cover classification pipeline with model benchmarking and experiment logging

2026-07-17 18:54:25 +07:00
parent a258db54cd
commit abab846884
69 changed files with 155558 additions and 105 deletions
@@ -0,0 +1,10 @@
+import joblib
+import geopandas as gpd
+from shapely.geometry import Point
+
+data = joblib.load('dataset_cache/training_data_2d.joblib')
+X, y = data['X'], data['y']
+print(f"X shape: {X.shape}, y shape: {y.shape}")
+
+gdf = gpd.read_file("train/ST_training_data_updated_1130points_new.shp")
+print("Total points:", len(gdf))