8000 FIX Do not use deprecated API in fetch_20newsgroups_vectorized (#21216) · scikit-learn/scikit-learn@8316127 · GitHub
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thomasjpfanlesteve
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glemaitre
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FIX Do not use deprecated API in fetch_20newsgroups_vectorized (#21216)
* FIX Do not use deprecated API in fetch_20newsgroups_vectorized * BLD [scipy-dev] * TST Be explicit about fill value [scipy-dev] * TST Fixes tests for fill value * [scipy-dev] trigger nightly build Co-authored-by: Loïc Estève <loic.esteve@ymail.com>
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‎sklearn/datasets/_twenty_newsgroups.py

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@@ -479,7 +479,7 @@ def fetch_20newsgroups_vectorized(
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vectorizer = CountVectorizer(dtype=np.int16)
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X_train = vectorizer.fit_transform(data_train.data).tocsr()
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X_test = vectorizer.transform(data_test.data).tocsr()
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feature_names = vectorizer.get_feature_names()
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feature_names = vectorizer.get_feature_names_out()
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joblib.dump((X_train, X_test, feature_names), target_file, compress=9)
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‎sklearn/utils/tests/test_validation.py

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@@ -1406,8 +1406,8 @@ def test_check_pandas_sparse_invalid(ntype1, ntype2):
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pd = pytest.importorskip("pandas", minversion="0.25.0")
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df = pd.DataFrame(
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{
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"col1": pd.arrays.SparseArray([0, 1, 0], dtype=ntype1),
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"col2": pd.arrays.SparseArray([1, 0, 1], dtype=ntype2),
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"col1": pd.arrays.SparseArray([0, 1, 0], dtype=ntype1, fill_value=0),
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"col2": pd.arrays.SparseArray([1, 0, 1], dtype=ntype2, fill_value=0),
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}
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)
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@@ -1448,8 +1448,8 @@ def test_check_pandas_sparse_valid(ntype1, ntype2, expected_subtype):
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pd = pytest.importorskip("pandas", minversion="0.25.0")
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df = pd.DataFrame(
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{
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"col1": pd.arrays.SparseArray([0, 1, 0], dtype=ntype1),
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"col2": pd.arrays.SparseArray([1, 0, 1], dtype=ntype2),
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"col1": pd.arrays.SparseArray([0, 1, 0], dtype=ntype1, fill_value=0),
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"col2": pd.arrays.SparseArray([1, 0, 1], dtype=ntype2, fill_value=0),
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}
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)
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arr = check_array(df, accept_sparse=["csr", "csc"])

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