zhipeng93 opened a new pull request, #139:
URL: https://github.com/apache/flink-ml/pull/139
## What is the purpose of the change
- Add Transformer and Estimator for KBinsDiscretizer[1] in Flink ML.
## Brief change log
- Added Transformer and Estimator for LinearSVC.
- Added java test/example for Transformer and Estimator for
KBinsDiscretizer.
- Added python source/test/example for KBinsDiscretizer.
- Comparing with Sklearn [1], we made the following changes:
- We removed `encode` parameter since we can achieve the same goal with
a onehot-encoder following KBinsDiscretizer.
- We removed `randomState` since it is non-trivial to support
reproduciable sampling in a distributed setting, while in sklearn (single-node)
setting, it is much easier. If the users would like this feature, we can add it
later.
## 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): (no)
- Does this pull request introduce a new feature? (yes)
- If yes, how is the feature documented? (Java doc)
[1]
https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.KBinsDiscretizer.html
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