Computer scienceData scienceInstrumentsScikit-learnTraining ML models with scikit-learnRegression in scikit-learn

Regularized regression with scikit-learn

RidgeCV and alpha values

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Write a command that is missing from the following code (...) to create an instance of RidgeCV that will check 100 $\alpha$ values between 0.01 and 1 in ten cross-validation folds. Leave other arguments as defaults.

from sklearn.linear_model import RidgeCV
ridge_cv = ...
ridge_cv.fit(X, y)

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