Seth Hendrickson created SPARK-17789:
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Summary: Don't force users to set k for KMeans if initial model is
set
Key: SPARK-17789
URL: https://issues.apache.org/jira/browse/SPARK-17789
Project: Spark
Issue Type: Improvement
Components: ML
Reporter: Seth Hendrickson
Priority: Minor
In the initial implementation of initalModel, we allow users to set the initial
model with a KMeansModel that has a different {{k}} than the current model. We
throw an error at train time if the two are mismatched. This means that the
following code throws a runtime exception:
{{code}}
val kmeansModel = new KMeans().setInitialModel(model).fit(df)
{{code}}
We should discuss this behavior, and decide if we should enforce users to set
both the initial model and k, or if we should alter k when the initial model is
set, or if we should keep the current behavior.
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