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s444417 2022-05-14 14:55:29 +02:00
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@ -106,7 +106,7 @@ def train():
mlflow.log_param('epochs', numberOfEpochParam)
mlflow.log_param('learning_rate', learning_rate)
mlflow.log_metric('final_loss', min(hist["val_loss"]))
# mlflow.log_metric('final_loss', min(hist["val_loss"]))
signature = mlflow.models.signature.infer_signature(house_price_features, linear_model.predict(house_price_features))