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In this snippet, we're fetching the `learning_rate` and `num_epochs` parameters and using them to configure a `LogisticRegression` model. This makes it easy to tune the model's hyperparameters by simply changing the parameter values in the widget interface. Remember to always validate and sanitize your parameter values to prevent unexpected behavior or security vulnerabilities. For example, you can use try-except blocks to handle invalid input or regular expressions to validate the format of text parameters.
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