Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/1733#issuecomment-51347255
The previous proposal may be hard to implement in Python. Another solution
would be separate goodness-of-fit test from independence test, e.g.,
`chiSqGofTest` and `chiSqIndTest`.
~~~
def chiSqGofTest(counts: Vector)
def chiSqGofTest(counts: Vector, p: Vector)
def chiSqIndTest(counts: Matrix)
def chiSqIndTest[V1, V2](observations: RDD[(V1, V2)])
~~~
We can also add direct RDD support, which may be unnecessary:
~~~
def chiSqGofTest[V](observations: RDD[V], p: Map[V, Double])
~~~
Since we only support `pearson`, we can hide `method` in the public API for
now.
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