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AgglomerativeClustering — scikit-learn 1.5.2 do...
array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2...clustering . labels_ array([1, 1, 1, 0, 0, 0]) fit ( X , y = None...scikit-learn.org/stable/modules/generated/sklearn.cluster.AgglomerativeClustering.html -
TfidfTransformer — scikit-learn 1.5.2 documenta...
array([[1, 1, 1, 1, 0, 1, 0, 0], [1, 2, 0, 1, 1, 1, 0, 0], [1, 0,...0, 0, 1, 0, 1, 1, 1], [1, 1, 1, 1, 0, 1, 0, 0]]) >>> pipe [ 'tfid'...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfTransformer.html -
ColumnTransformer — scikit-learn 1.5.2 document...
1. , 2. , 2. ], ... [ 1. , 1. , 0. , 1. ]]) >>> #...scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...scikit-learn.org/stable/modules/generated/sklearn.compose.ColumnTransformer.html -
StandardScaler — scikit-learn 1.5.2 documentation
( data )) [[-1. -1.] [-1. -1.] [ 1. 1.] [ 1. 1.]] >>> print (...0 , 0 ], [ 0 , 0 ], [ 1 , 1 ], [ 1 , 1 ]] >>> scaler = StandardScaler...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html -
RandomTreesEmbedding — scikit-learn 1.5.2 docum...
1.], [1., 0., 1., 0., 1., 0., 1., 0., 1., 0.], [0., 1., 1.,...array([[0., 1., 1., 0., 1., 0., 0., 1., 1., 0.], [0., 1., 1., 0., 1.,...scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomTreesEmbedding.html -
MiniBatchDictionaryLearning — scikit-learn 1.5....
* || U || _1 , 1 ( U , V ) with || V_k || _2 <= 1 for all 0 <=...Added in version 1.1. Deprecated since version 1.4: max_iter=None...scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchDictionaryLearning.html -
SplineTransformer — scikit-learn 1.5.2 document...
n_splines=n_knots + degree - 1 ( n_knots - 1 for extrapolation="periodic"...available with scipy>=1.8 . Added in version 1.2. Attributes : bsplines_...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.SplineTransformer.html -
StratifiedGroupKFold — scikit-learn 1.5.2 docum...
1 , 1 , 1 , 1 , 1 , 1 , 0 , 0 , 0 , 0 , 0...Train: index=[ 0 1 2 3 7 8 9 10 11 15 16] group=[1 1 2 2 4 5 5 5 5...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedGroupKFold.html -
HistGradientBoostingClassifier — scikit-learn 1...
that categorical values of 1.0 and 1 are treated as the same category....integer values: 1: monotonic increase 0: no constraint -1: monotonic...scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html -
LabelSpreading — scikit-learn 1.5.2 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...Clamping factor. A value in (0, 1) that specifies the relative amount...scikit-learn.org/stable/modules/generated/sklearn.semi_supervised.LabelSpreading.html