Merge branch 'main' into dependabot/pip/xgboost-2.0.2

Trusted-AI · Dec 19, 2023 · 0f2a2bf · 0f2a2bf
2 parents 2badfc7 + 0b70a71
commit 0f2a2bf
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Showing 3 changed files with 4 additions and 4 deletions.
diff --git a/.github/workflows/dockerhub.yml b/.github/workflows/dockerhub.yml
@@ -31,7 +31,7 @@ jobs:
 
       - name: Extract metadata (tags, labels) for Docker
         id: meta
-        uses: docker/metadata-action@31cebacef4805868f9ce9a0cb03ee36c32df2ac4
+        uses: docker/metadata-action@9dc751fe249ad99385a2583ee0d084c400eee04e
         with:
           images: adversarialrobustnesstoolbox/releases
           tags: |

diff --git a/requirements_test.txt b/requirements_test.txt
@@ -6,7 +6,7 @@ matplotlib==3.7.1
 scikit-learn>=0.22.2,<1.2.0
 six==1.16.0
 Pillow==10.1.0
-tqdm==4.65.0
+tqdm==4.66.1
 statsmodels==0.13.5
 pydub==0.25.1
 resampy==0.4.2
@@ -40,7 +40,7 @@ timm==0.9.2
 
 catboost==1.1.1
 GPy==1.10.0
-lightgbm==3.3.5
+lightgbm==4.1.0
 xgboost==2.0.2
 
 kornia~=0.6.12

diff --git a/tests/metrics/test_verification_decision_trees.py b/tests/metrics/test_verification_decision_trees.py
@@ -92,7 +92,7 @@ def test_LightGBM(self):
             "verbose": 0,
         }
 
-        model = lightgbm.train(parameters, train_data, valid_sets=test_data, num_boost_round=2, early_stopping_rounds=1)
+        model = lightgbm.train(parameters, train_data, valid_sets=test_data, num_boost_round=2)
 
         classifier = LightGBMClassifier(model=model)