Oleksiy Dyagilev created SPARK-8525:
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Summary: Bug in Streaming k-means documentation
Key: SPARK-8525
URL: https://issues.apache.org/jira/browse/SPARK-8525
Project: Spark
Issue Type: Bug
Components: Documentation, MLlib
Affects Versions: 1.4.0
Reporter: Oleksiy Dyagilev
Priority: Critical
The expected input format is wrong in Streaming K-means documentation.
https://spark.apache.org/docs/latest/mllib-clustering.html#streaming-k-means
There shouldn't be any spaces in test data points. I.e. instead of
(y, [x1, x2, x3]) it should be
(y,[x1,x2,x3])
The exception thrown
org.apache.spark.SparkException: Cannot parse a double from:
at
org.apache.spark.mllib.util.NumericParser$.parseDouble(NumericParser.scala:118)
at
org.apache.spark.mllib.util.NumericParser$.parseTuple(NumericParser.scala:103)
at
org.apache.spark.mllib.util.NumericParser$.parse(NumericParser.scala:41)
at
org.apache.spark.mllib.regression.LabeledPoint$.parse(LabeledPoint.scala:49)
Also I would improve documentation saying explicitly that expected data types
for both 'x' and 'y' is Double. At the moment it's not obvious especially for
'y'.
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