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This article mainly introduces "what is the prototype of get_support () function". In daily operation, I believe that many people have doubts about what the prototype of get_support () function is. The editor consulted all kinds of materials and sorted out simple and easy-to-use operation methods. I hope it will be helpful to answer the questions of "what is the prototype of get_support () function?" Next, please follow the editor to study!

When learning regression algorithms, you use RandomizedLogisticRegression under sklearn.linear_model (hereinafter referred to as RLR) to make predictions, but you always encounter the following error:

IndexError: boolean index did not match indexed array along dimension 0; dimension is 9 but corresponding boolean dimension is 8

After that, I want to take a look at the prototype of the get_support () function, find the official document, and take a screenshot:

You can see the returns section, which roughly means that if Indices is False, it returns an array of type boolean, and if indices is True, it returns an integer array, so the solution is to change the parameters. The default is False, just change it to r1.get_support (indices=True).

At this point, the study of "what is the prototype of the get_support () function" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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