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DS-1000 / 870 / Does scikit-learn provide facility to use SVM for regression, using a polynomial…

Problem

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Problem:

Does scikit-learn provide facility to use SVM for regression, using a polynomial kernel (degree=2)? I looked at the APIs and I don't see any. Has anyone built a package on top of scikit-learn that does this?
Note to use default arguments

A:

<code>
import numpy as np
import pandas as pd
import sklearn
X, y = load_data()
assert type(X) == np.ndarray
assert type(y) == np.ndarray
# fit, then predict X
</code>
predict = ... # put solution in this variable
BEGIN SOLUTION
<code>

library

Sklearn

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Source and history

upstream_id / Original problem ID
870
task_id
697ccaca-e24b-5d48-a8c0-6f5069d277ed
task_key
default--test--870
task_revision_id
1
config / split
default / test

Official source

initial import