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[MRG]Diabetes example with GridSearchCV #8268

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Merged
merged 3 commits into from
Feb 7, 2017
Merged

[MRG]Diabetes example with GridSearchCV #8268

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6c63b81
Diabetes example with GridSearchCV
rishikksh20 Feb 2, 2017
0c72cbc
Modify diabetes example to remove pep8 error
rishikksh20 Feb 2, 2017
b4f298d
Cosmetic Changes in Diabetes Example as discussed
rishikksh20 Feb 2, 2017
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18 changes: 6 additions & 12 deletions examples/exercises/plot_cv_diabetes.py
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Original file line number Diff line number Diff line change
Expand Up @@ -19,7 +19,7 @@
from sklearn.linear_model import LassoCV
from sklearn.linear_model import Lasso
from sklearn.model_selection import KFold
from sklearn.model_selection import cross_val_score
from sklearn.model_selection import GridSearchCV

diabetes = datasets.load_diabetes()
X = diabetes.data[:150]
Expand All @@ -28,19 +28,13 @@
lasso = Lasso(random_state=0)
alphas = np.logspace(-4, -0.5, 30)

scores = list()
scores_std = list()

tuned_parameters = [{'alpha': alphas}]
n_folds = 3

for alpha in alphas:
lasso.alpha = alpha
this_scores = cross_val_score(lasso, X, y, cv=n_folds, n_jobs=1)
scores.append(np.mean(this_scores))
scores_std.append(np.std(this_scores))

scores, scores_std = np.array(scores), np.array(scores_std)

clf = GridSearchCV(lasso, tuned_parameters, cv=n_folds, refit=False)
clf.fit(X, y)
scores = clf.cv_results_['mean_test_score']
scores_std = clf.cv_results_['std_test_score']
plt.figure().set_size_inches(8, 6)
plt.semilogx(alphas, scores)

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