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DS-1000 / 839 / I would like to predict the probability from Logistic Regression model with…

Problem

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Problem:

I would like to predict the probability from Logistic Regression model with cross-validation. I know you can get the cross-validation scores, but is it possible to return the values from predict_proba instead of the scores? please save the probabilities into a list or an array.

A:

<code>
import numpy as np
import pandas as pd
from sklearn.linear_model import LogisticRegression
from sklearn.model_selection import StratifiedKFold
X, y = load_data()
assert type(X) == np.ndarray
assert type(y) == np.ndarray
cv = StratifiedKFold(5).split(X, y)
logreg = LogisticRegression()
</code>
proba = ... # put solution in this variable
BEGIN SOLUTION
<code>

library

Sklearn

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Source and history

upstream_id / Original problem ID
839
task_id
b30b36b6-66fb-5132-a06b-e5e25b7a868f
task_key
default--test--839
task_revision_id
1
config / split
default / test

Official source

initial import