From d20c1b537922296fc49abe89c958997a8ee960b5 Mon Sep 17 00:00:00 2001
From: nabenabe0928 <shuhei.watanabe.utokyo@gmail.com>
Date: Fri, 9 Apr 2021 00:07:26 +0900
Subject: [PATCH] [fix] Fix a contradiction in holdout_stratified_validation

Since stratified splitting requires to shuffle by default
and it raises error in the github check,
I fixed this issue.
---
 autoPyTorch/datasets/resampling_strategy.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/autoPyTorch/datasets/resampling_strategy.py b/autoPyTorch/datasets/resampling_strategy.py
index dfd797023..765a31cdb 100644
--- a/autoPyTorch/datasets/resampling_strategy.py
+++ b/autoPyTorch/datasets/resampling_strategy.py
@@ -113,7 +113,7 @@ def stratified_holdout_validation(val_share: float,
                                       indices: np.ndarray,
                                       **kwargs: Any
                                       ) -> Tuple[np.ndarray, np.ndarray]:
-        train, val = train_test_split(indices, test_size=val_share, shuffle=False, stratify=kwargs["stratify"])
+        train, val = train_test_split(indices, test_size=val_share, shuffle=True, stratify=kwargs["stratify"])
         return train, val
 
     @classmethod