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MAINT update dependencies for CI #1145

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Merged
merged 6 commits into from
Aug 13, 2025
Merged

MAINT update dependencies for CI #1145

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76900e8
MAINT update dependencies
glemaitre Aug 12, 2025
307019e
fix scipy for older scikit-learn
glemaitre Aug 12, 2025
09e0971
try downgrading tensorflow
glemaitre Aug 12, 2025
7a98062
iter
glemaitre Aug 12, 2025
fb7b220
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glemaitre Aug 12, 2025
7935859
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glemaitre Aug 12, 2025
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4 changes: 2 additions & 2 deletions .github/workflows/linters.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -15,9 +15,9 @@ jobs:

steps:
- uses: actions/checkout@v4
- uses: prefix-dev/[email protected].8
- uses: prefix-dev/[email protected].14
with:
pixi-version: v0.39.2
pixi-version: v0.51.0
frozen: true

- name: Run tests
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5 changes: 3 additions & 2 deletions .github/workflows/tests.yml
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Expand Up @@ -20,6 +20,7 @@ jobs:
ci-py310-min-tensorflow,
ci-py311-sklearn-1-4,
ci-py311-sklearn-1-5,
ci-py312-sklearn-1-6,
ci-py311-latest-keras,
ci-py311-latest-tensorflow,
ci-py313-latest-dependencies,
Expand All @@ -37,9 +38,9 @@ jobs:
runs-on: ${{ matrix.os }}
steps:
- uses: actions/checkout@v4
- uses: prefix-dev/[email protected].8
- uses: prefix-dev/[email protected].14
with:
pixi-version: v0.39.2
pixi-version: v0.51.0
environments: ${{ matrix.environment }}
# we can freeze the environment and manually bump the dependencies to the
# latest version time to time.
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6 changes: 4 additions & 2 deletions imblearn/keras/tests/test_generator.py
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Expand Up @@ -24,7 +24,8 @@ def data():
X, y = make_imbalance(
iris.data, iris.target, sampling_strategy={0: 30, 1: 50, 2: 40}
)
y = LabelBinarizer().fit_transform(y)
X = X.astype(np.float32)
y = LabelBinarizer().fit_transform(y).astype(np.int32)
return X, y


Expand Down Expand Up @@ -103,7 +104,7 @@ def test_balanced_batch_generator_function_no_return_indices(data):
(None, None),
(RandomOverSampler(), None),
(NearMiss(), None),
(None, np.random.uniform(size=120)),
(None, np.random.uniform(size=120).astype(np.float32)),
],
)
def test_balanced_batch_generator_function(data, sampler, sample_weight):
Expand All @@ -117,6 +118,7 @@ def test_balanced_batch_generator_function(data, sampler, sample_weight):
batch_size=10,
random_state=42,
)
print(next(training_generator))
model.fit(
training_generator,
steps_per_epoch=steps_per_epoch,
Expand Down
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