Veghit
diff --git a/‎sklearn/svm/_base.py
Copy file name to clipboardExpand all lines: sklearn/svm/_base.py
+3-3Lines changed: 3 additions & 3 deletions b/‎sklearn/svm/_base.py
Copy file name to clipboardExpand all lines: sklearn/svm/_base.py
+3-3Lines changed: 3 additions & 3 deletions
@@ -268,9 +268,9 @@ def fit(self, X, y, sample_weight=None):
         dual_coef_finiteness = np.isfinite(dual_coef).all()
         if not (intercept_finiteness and dual_coef_finiteness):
             raise ValueError(
-                "The dual coefficients or intercepts are not finite. "
-                "The input data may contain large values and need to be"
-                "preprocessed."
+                "The dual coefficients or intercepts are not finite."
+                " The input data may contain large values and need to be"
+                " preprocessed."
             )
 
         # Since, in the case of SVC and NuSVC, the number of models optimized by