The fit function in the sklearn.svm.SVR module in Python's scikit-learn library is used to train (fit) a support vector regression model. It takes the input data (X) and the target values (y) as parameters and fits the SVR model to the data, adjusting the model's parameters to minimize the difference between the predicted target values and the actual target values. The fit function learns the relationship between the input data and the target values, allowing the model to make predictions on new, unseen data.
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