Github user yinxusen commented on a diff in the pull request:
https://github.com/apache/spark/pull/11116#discussion_r53683493
--- Diff: examples/src/main/python/mllib/streaming_k_means_example.py ---
@@ -0,0 +1,53 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements. See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+from __future__ import print_function
+
+from pyspark import SparkContext
+from pyspark.streaming import StreamingContext
+# $example on$
+from pyspark.mllib.linalg import Vectors
+from pyspark.mllib.regression import LabeledPoint
+from pyspark.mllib.clustering import StreamingKMeans
+# $example off$
+
+if __name__ == "__main__":
+ sc = SparkContext(appName="StreamingKMeansExample") # SparkContext
+ ssc = StreamingContext(sc, 1)
+
+ # $example on$
+ # we make an input stream of vectors for training,
+ # as well as a stream of labeled data points for testing
+ def parse(lp):
+ label = float(lp[lp.find('(') + 1: lp.find(',')])
+ vec = Vectors.dense(lp[lp.find('[') + 1: lp.find(']')].split(','))
+ return LabeledPoint(label, vec)
+
+ trainingData =
ssc.textFileStream("/training/data/dir").map(Vectors.parse)
--- End diff --
We cannot access the two paths, please change it to another one, e.g.
`data/mllib/kmeans_data.txt`, and test whether the code runs correctly or not.
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