Fix linting issue and format with black

steinfurt · steinfurt · commit 2b8610e9a247 · 2021-12-03T01:12:49.000+01:00
diff --git a/examples/linear_model/plot_sparse_logistic_regression_mnist.py b/examples/linear_model/plot_sparse_logistic_regression_mnist.py
@@ -26,7 +26,7 @@
 import matplotlib.pyplot as plt
 import numpy as np
 
-from sklearn.datasets import fetch_openml
+# from sklearn.datasets import fetch_openml
 from sklearn.datasets import load_digits
 from sklearn.linear_model import LogisticRegression
 from sklearn.model_selection import train_test_split
@@ -56,7 +56,13 @@
 X_train = scaler.fit_transform(X_train)
 X_test = scaler.transform(X_test)
 
-clf = LogisticRegression(C=20.0 / train_samples, penalty="l1", solver="saga", tol=0.1, random_state=random_state)
+clf = LogisticRegression(
+    C=20.0 / train_samples,
+    penalty="l1",
+    solver="saga",
+    tol=0.1,
+    random_state=random_state,
+)
 clf.fit(X_train, y_train)
 sparsity = np.mean(clf.coef_ == 0) * 100
 score = clf.score(X_test, y_test)
