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train.py
4
train.py
@ -72,7 +72,7 @@ def train_model(data_file, model_file, epochs, batch_size, test_size, random_sta
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print('Test accuracy:', accuracy)
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print('Test loss:', loss)
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model.save(model_file)
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model.save("model.h5")
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input_signature = {
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'input': tensor_spec.TensorSpec(shape=X_train[0].shape, dtype=X_train.dtype)
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}
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@ -87,7 +87,7 @@ def train_model(data_file, model_file, epochs, batch_size, test_size, random_sta
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input_example = pd.DataFrame(X_train[:1])
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mlflow.keras.save_model(model, "model", signature=signature, input_example=input_example.to_dict('records'))
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return accuracy
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return accuracy
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@ex.main
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def run_experiment():
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