How to Display All Logistic Regression Hyperparameters in Scikit-Learn

Learn how to easily display all the `hyperparameters` for Logistic Regression models in Scikit-Learn, and become familiar with their default values and settings.
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Understanding Logistic Regression Hyperparameters in Scikit-Learn

When working with machine learning models, it's crucial to understand the various hyperparameters that control model behavior. Logistic Regression, one of the most widely used algorithms for binary classification, has several hyperparameters that you will want to be familiar with. If you've been trying to display these hyperparameters in your Scikit-Learn model and ended up frustrated, you’re not alone.

In today’s guide, we’ll address how to effectively display all the hyperparameters of a Logistic Regression model in Scikit-Learn.

The Problem

After importing the Logistic Regression class from Scikit-Learn, you might expect to see a detailed output of all the hyperparameters when you create an instance of the model. For example, once you run the following code:

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You may anticipate seeing an extensive list like this:

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However, instead, you might only see a minimal output:

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Even when you explicitly set the hyperparameters:

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You may still only receive the output:

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This can be disappointing, especially when trying to familiarize yourself with how hyperparameters are set and their default values.

The Solution

To address this issue, Scikit-Learn provides a straightforward method to easily view all the parameters associated with your Logistic Regression model. This is done using the get_params() method.

Here’s how to do it:

Create Your Logistic Regression Model:

First, you need to create an instance of your Logistic Regression model. You can choose to leave it with default values or specify them as shown earlier.

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Retrieve Hyperparameters:

Use the get_params(deep=True) method to see all the hyperparameters and their current values.

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Expected Output

By running the above command, you should see a comprehensive list of hyperparameters like this:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

With the get_params() method, you can easily access and familiarize yourself with all the hyperparameters associated with your Logistic Regression model in Scikit-Learn. This not only helps in understanding the model better but also aids in the proper tuning of parameters for improved performance.

Next time you wonder why your model isn't displaying the expected hyperparameters, remember this simple method, and you’ll be on your way to mastering Logistic Regression in Scikit-Learn!

Feel free to share your experiences or questions in the comments below!

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