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@@ -527,7 +527,7 @@ for lmb in lambdas:
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plt.figure()
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plt.plot(np.log10(lambdas), estimated_mse_sklearn, label = 'cross_val_score')
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plt.plot(np.log10(lambdas), estimated_mse_KFold, 'r--', label = 'KFold')
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#plt.plot(np.log10(lambdas), estimated_mse_KFold, 'r--', label = 'KFold')
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plt.xlabel('log10(lambda)')
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plt.ylabel('mse')
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@@ -845,7 +845,6 @@ from sklearn.utils import resample
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from sklearn.metrics import mean_squared_error
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from IPython.display import display
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from pylab import plt, mpl
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plt.style.use('seaborn')
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mpl.rcParams['font.family'] = 'serif'
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# Where to save the figures and data files
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