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articles/machine-learning/tutorial-power-bi-custom-model.md

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return error
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```
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### Define the custom environment
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## Define the custom environment
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Next, define the environment to score the model. In the environment, define the Python packages, such as pandas and scikit-learn, that the scoring script (*score.py*) requires.
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inference_config = InferenceConfig(entry_script='./score.py',environment=environment)
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```
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### Deploy the model
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## Deploy the model
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To deploy the model, copy the following code and paste it into a new *code cell* in your notebook:
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