Github user rmchurch commented on the issue:
https://github.com/apache/spark/pull/11515
This example doesn't seem to work in Spark 2.0.0, and from the master
mllib/clustering.py, I don't expect it to work in the most updated code either.
Specifically, the Python BisectingKMeansModel class does not have a save method
(the KMeansModel class does), so that the last three lines of the following
code do not work:
```
# Build the model (cluster the data)
model = BisectingKMeans.train(parsedData, 2, maxIterations=5)
# Evaluate clustering
cost = model.computeCost(parsedData)
print("Bisecting K-means Cost = " + str(cost))
# Save and load model
path =
"target/org/apache/spark/PythonBisectingKMeansExample/BisectingKMeansModel"
model.save(sc, path)
sameModel = BisectingKMeansModel.load(sc, path)
```
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