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-rw-r--r--examples/src/main/python/mllib/svm_with_sgd_example.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/examples/src/main/python/mllib/svm_with_sgd_example.py b/examples/src/main/python/mllib/svm_with_sgd_example.py
index 309ab09cc3..24b8f431e0 100644
--- a/examples/src/main/python/mllib/svm_with_sgd_example.py
+++ b/examples/src/main/python/mllib/svm_with_sgd_example.py
@@ -38,7 +38,7 @@ if __name__ == "__main__":
# Evaluating the model on training data
labelsAndPreds = parsedData.map(lambda p: (p.label, model.predict(p.features)))
- trainErr = labelsAndPreds.filter(lambda (v, p): v != p).count() / float(parsedData.count())
+ trainErr = labelsAndPreds.filter(lambda lp: lp[0] != lp[1]).count() / float(parsedData.count())
print("Training Error = " + str(trainErr))
# Save and load model