Support using CountVectorizer & TfidVectorizer in cuml.pipeline.Pipeline

[lasse-it]

It's not possible to use the vectorizers with a pipeline, because the pipeline calls the method fit_transform with 3 arguments and only 2 are supported.

This fix is similar to the implementation in scikit-learn: https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/feature_extraction/text.py#L2095
And has already been implemented for the HashingVectorizer:

cuml/python/cuml/feature_extraction/_vectorizers.py

Line 867 in 50716cf

def fit_transform(self, X, y=None):

[GPUtester]

Can one of the admins verify this patch?

Admins can comment ok to test to allow this one PR to run or add to allowlist to allow all future PRs from the same author to run.

[rapids-bot]

Pull requests from external contributors require approval from a rapidsai organization member with write or admin permissions before CI can begin.

[cjnolet]

ok to test

[csadorf]

Thank you very much for the contribution!

[dantegd]

For some reason the Branch checker job is stuck in a couple of PRs, will work on solving that or admin merging later today

[dantegd]

@gpucibot merge

[codecov-commenter]

Codecov Report

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[dantegd]

@gpucibot merge