scikit-learn
diff --git a/‎examples/svm/plot_separating_hyperplane_margin.py
Copy file name to clipboardExpand all lines: examples/svm/plot_separating_hyperplane_margin.py
+4-4Lines changed: 4 additions & 4 deletions b/‎examples/svm/plot_separating_hyperplane_margin.py
Copy file name to clipboardExpand all lines: examples/svm/plot_separating_hyperplane_margin.py
+4-4Lines changed: 4 additions & 4 deletions
@@ -36,8 +36,7 @@
     clf.fit(X, y)
 
     plt.subplot(1, 3, i)
-    plt.scatter(X[:, 0], X[:, 1], c=y, s=30,
-                cmap=plt.cm.Paired, edgecolors="k")
+    plt.scatter(X[:, 0], X[:, 1], c=y, s=30, cmap=plt.cm.Paired, edgecolors="k")
 
     # plot the decision function
     ax = plt.gca()
@@ -48,7 +47,8 @@
         colors="k",
         levels=[-1, 0, 1],
         alpha=0.5,
-        linestyles=["--", "-", "--"], ax=ax
+        linestyles=["--", "-", "--"],
+        ax=ax,
     )
 
     # plot support vectors
@@ -59,7 +59,7 @@
         linewidth=1.5,
         facecolors="none",
         edgecolors="r",
-        label="Support Vectors"
+        label="Support Vectors",
     )
 
     plt.title(f"SVM Decision Boundary (C={C_val})")