zhengruifeng opened a new pull request #27461: [SPARK-30736][ML] One-Pass ChiSquareTest URL: https://github.com/apache/spark/pull/27461 ### What changes were proposed in this pull request? 1, distributedly collect matrix `contingency` of each feature 2, distributedly compute the results and then collect them back to the driver ### Why are the changes needed? existing impl is not efficient: 1, it directly collect matrix `contingency` of partial featues to driver and compute the corresponding result one pass; 2, a matrix `contingency` of a featues is of size numDistinctValues X numDistinctLabels, so only 1000 can be collect on one pass; ### Does this PR introduce any user-facing change? No ### How was this patch tested? existing testsuites
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