yunfengzhou-hub opened a new pull request, #161:
URL: https://github.com/apache/flink-ml/pull/161
## What is the purpose of the change
This PR aligns the behavior of ChiSqTest with that of Spark, and adds
corresponding Python API and documents.
## Brief change log
- Change the input features of ChiSqTest from multiple arbitrary columns to
one vector column
- Change the input label of ChiSqTest from arbitrary java object to numbers
- Add support for the flatten parameter in ChiSqTest
- Add module `stats` to Flink ML Python API
- Add ChiSqTest's Python implementation
- Add ChiSqTest's Java/Python example
- Add ChiSqTest's website document
## Does this pull request potentially affect one of the following parts:
- Dependencies (does it add or upgrade a dependency): (no)
- The public API, i.e., is any changed class annotated with
`@Public(Evolving)`: (yes)
## Documentation
- Does this pull request introduce a new feature? (yes)
- If yes, how is the feature documented? (docs & JavaDocs)
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