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Diffstat (limited to 'examples/src')
| -rw-r--r-- | examples/src/main/python/mllib/k_means_example.py | 3 |
1 files changed, 1 insertions, 2 deletions
diff --git a/examples/src/main/python/mllib/k_means_example.py b/examples/src/main/python/mllib/k_means_example.py index 5c397e62ef..d6058f4502 100644 --- a/examples/src/main/python/mllib/k_means_example.py +++ b/examples/src/main/python/mllib/k_means_example.py @@ -36,8 +36,7 @@ if __name__ == "__main__": parsedData = data.map(lambda line: array([float(x) for x in line.split(' ')])) # Build the model (cluster the data) - clusters = KMeans.train(parsedData, 2, maxIterations=10, - runs=10, initializationMode="random") + clusters = KMeans.train(parsedData, 2, maxIterations=10, initializationMode="random") # Evaluate clustering by computing Within Set Sum of Squared Errors def error(point): |