Github user MLnick commented on the issue:
https://github.com/apache/spark/pull/18612
It makes sense for `LinearSVC` since the threshold has the same meaning for
other binary classifiers (e.g. LogisticRegression). The meaning of threshold
for `Binarizer` is very different as it operates on feature values in a feature
vector, not raw predicted values from a model. I would say back out the
Binarizer changes here.
As for GBT, well I am sort of indifferent as the step size is roughly
analogous between the two definitions (in both cases it is a learning rate).
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