inrefence predictions fix

utils/inference_logger.py

@@ -61,6 +61,13 @@ class InferenceLogger:
             # Get current memory usage
             memory_usage_mb = self._get_memory_usage()
             
+            # Convert input features to numpy array if needed
+            features_array = None
+            if isinstance(input_features, np.ndarray):
+                features_array = input_features.astype(np.float32)
+            elif isinstance(input_features, (list, tuple)):
+                features_array = np.array(input_features, dtype=np.float32)
+            
             # Create inference record
             record = InferenceRecord(
                 model_name=model_name,
@@ -72,6 +79,7 @@ class InferenceLogger:
                 input_features_hash=feature_hash,
                 processing_time_ms=processing_time_ms,
                 memory_usage_mb=memory_usage_mb,
+                input_features=features_array,
                 checkpoint_id=checkpoint_id,
                 metadata=metadata
             )