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examples/plot_generalized_linear_estimator_cv.py

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estimator.fit(X, y)
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# Print results
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print(f"Best alpha: {estimator.alpha_:.3f}")
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print(f"L1 ratio: {estimator.penalty.l1_ratio:.3f}")
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print(f"Number of non-zero coefficients: {np.sum(estimator.coef_ != 0)}")
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# TODO: add plot
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# TODO: add plot, test with other penalties and datafits

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