Zaktualizuj 'train-mlflow.py'
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@ -30,7 +30,7 @@ from urllib.parse import urlparse
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from mlflow.models import infer_signature
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mlflow.set_experiment("478815")
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#mlflow.set_tracking_uri("http://172.17.0.1:5000")
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mlflow.set_tracking_uri("http://172.17.0.1:5000")
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# Model
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class Model(nn.Module):
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@ -106,16 +106,16 @@ def my_main(epochs):
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print(np.array(X_testing[0]))
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#input_example = np.array(X_testing[0])
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#siganture = mlflow.models.signature.infer_signature(np.array(X_training), np.array(y_predicted_train))
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#tracking_url_type_store = urlparse(mlflow.get_tracking_uri()).scheme
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input_example = np.array(X_testing[0])
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siganture = mlflow.models.signature.infer_signature(np.array(X_training), np.array(y_predicted_train))
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tracking_url_type_store = urlparse(mlflow.get_tracking_uri()).scheme
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#if tracking_url_type_store != "file":
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# mlflow.pytorch.log_model(model, "model_new", registered_model_name="478815", signature=siganture,
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# input_example=input_example)
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#else:
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# mlflow.pytorch.log_model(model, "model_new", signature=siganture, input_example=input_example)
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#mlflow.pytorch.save_model(model, "model_new", signature=siganture, input_example=input_example)
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if tracking_url_type_store != "file":
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mlflow.pytorch.log_model(model, "model_new", registered_model_name="478815", signature=siganture,
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input_example=input_example)
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else:
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mlflow.pytorch.log_model(model, "model_new", signature=siganture, input_example=input_example)
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mlflow.pytorch.save_model(model, "model_new", signature=siganture, input_example=input_example)
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rmse = mean_squared_error(y_testing, y_predicted)
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#print(rmse)
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