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fixed lint
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5 Train Save.pipeline

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}
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],
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"schemas": []
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}
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}

mlflow/requirements.txt

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@@ -7,4 +7,4 @@ scikit-learn
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seaborn
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mlflow<=2.8
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tf2onnx
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onnxruntime
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onnxruntime

pipeline/6_get_data_train_upload.py

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@@ -109,7 +109,7 @@ def train_model(train_data_input_path: InputPath(), validate_data_input_path: In
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history = model.fit(X_train, y_train, epochs=epochs,
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validation_data=(scaler.transform(X_val.values), y_val),
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verbose=True, class_weight=class_weights)
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# Normally we use tf2.onnx.convert.from_keras.
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# workaround for tf2onnx bug https://github.com/onnx/tensorflow-onnx/issues/2348
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