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 +1,7 @@
+import joblib
+import numpy as np
+
+data = joblib.load('dataset_cache/training_data.joblib')
+X, y = data['X'], data['y']
+print(f"X shape: {X.shape}")
+print(f"y shape: {y.shape}")