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check_array — scikit-learn 1.7.2 document...
ndim > 2. ensure_min_samples int, default=1...the input data has effectively 2 dimensions or is originally 1D...scikit-learn.org/stable/modules/generated/sklearn.utils.check_array.html -
jaccard_score — scikit-learn 1.7.2 docume...
2 , 1 , 2 ] >>> y_true = [ 0 , 1 , 2 , 2 ] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.jaccard_score.html -
estimate_bandwidth — scikit-learn 1.7.2 d...
[ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...scikit-learn.org/stable/modules/generated/sklearn.cluster.estimate_bandwidth.html -
AdaBoostClassifier — scikit-learn 1.7.2 d...
implements the algorithm based on [2] . Read more in the User Guide...max_depth=1 . Added in version 1.2: base_estimator was renamed to...scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostClassifier.html -
ledoit_wolf — scikit-learn 1.7.2 document...
2 ], [ .2 , .8 ]]) >>> rng...scikit-learn.org/stable/modules/generated/sklearn.covariance.ledoit_wolf.html -
LassoLarsCV — scikit-learn 1.7.2 document...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...n_jobs = None , eps = np.float64(2.220446049250313e-16) , copy_X...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsCV.html -
LinearDiscriminantAnalysis — scikit-learn...
[ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...3 , 2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2...scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysi... -
HashingVectorizer — scikit-learn 1.7.2 do...
2) means unigrams and bigrams, and (2, 2) means only...n_features is large enough (e.g. 2 ** 18 for text classification...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.HashingVectorizer.html -
make_low_rank_matrix — scikit-learn 1.7.2...
0 * ( i / effective_rank ) ** 2 ) The remaining singular values’...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_low_rank_matrix.html -
KernelRidge — scikit-learn 1.7.2 document...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...coefficient of determination, \(R^2\) , is defined as \((1 - \frac{u}{v})\)...scikit-learn.org/stable/modules/generated/sklearn.kernel_ridge.KernelRidge.html