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SparseCoder — scikit-learn 1.7.1 documentation
[ 1 , 1 , 1 ], ... [ 0 , 1 , 1 ], ... [ 0 , 2 , 1 ]], ... dtype...np . array ( ... [[ 0 , 1 , 0 ], ... [ - 1 , - 1 , 2 ], ... [...scikit-learn.org/stable/modules/generated/sklearn.decomposition.SparseCoder.html -
sklearn.linear_model — scikit-learn 1.7.1 docum...
to outliers, e.g., SGDRegressor with loss='huber' . HuberRegressor...Regression a.k.a. LassoLarsCV Cross-validated Lasso, using the...scikit-learn.org/stable/api/sklearn.linear_model.html -
sklearn.datasets — scikit-learn 1.7.1 documenta...
(LFW) pairs dataset (classification). fetch_lfw_people Load the...in the Wild (LFW) people dataset (classification). fetch_olivetti_faces...scikit-learn.org/stable/api/sklearn.datasets.html -
sklearn.impute — scikit-learn 1.7.1 documentation
top Ctrl + K GitHub Choose version sklearn.impute # Transformers...missing value imputation. User guide. See the Imputation of missing...scikit-learn.org/stable/api/sklearn.impute.html -
sklearn.semi_supervised — scikit-learn 1.7.1 do...
Ctrl + K GitHub Choose version sklearn.semi_supervised # Semi-supervised...classification tasks. User guide. See the Semi-supervised learning...scikit-learn.org/stable/api/sklearn.semi_supervised.html -
SplineTransformer — scikit-learn 1.7.1 document...
X ) array([[0.5 , 0.5 , 0. , 0. ], [0.18, 0.74, 0.08, 0. ], [0.02,...‘constant’, ‘linear’, ‘continue’, ‘periodic’}, default=’constant’...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.SplineTransformer.html -
SequentialFeatureSelector — scikit-learn 1.7.1 ...
"auto" . Added in version 1.1. direction {‘forward’, ‘backward’},...shape (150, 3) fit ( X , y = None , ** params ) [source] # Learn...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SequentialFeatureSelector.html -
TransformedTargetRegressor — scikit-learn 1.7.1...
reshape ( - 1 , 1 ) >>> y = np . exp ( 2 * X ) . ravel () >>> tt...tt . fit ( X , y ) TransformedTargetReg(...) >>> tt . score ( X...scikit-learn.org/stable/modules/generated/sklearn.compose.TransformedTargetRegressor.html -
FeatureAgglomeration — scikit-learn 1.7.1 docum...
linkage. Can be “euclidean”, “l1”, “l2”, “manhattan”, “cosine”,...False . linkage {“ward”, “complete”, “average”, “single”}, default=”ward”...scikit-learn.org/stable/modules/generated/sklearn.cluster.FeatureAgglomeration.html -
pairwise_distances — scikit-learn 1.7.1 documen...
[‘cityblock’, ‘cosine’, ‘euclidean’, ‘l1’, ‘l2’, ‘manhattan’, ‘nan_euclidean’]....‘canberra’, ‘chebyshev’, ‘correlation’, ‘dice’, ‘hamming’, ‘jaccard’,...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances.html