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SelectFpr — scikit-learn 1.7.0 documentation
SelectFpr ( score_func=<function f_classif> , * , alpha=0.05 ) [source]...chi2 >>> X , y = load_breast_cancer ( return_X_y = True ) >>> X...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFpr.html -
faq.rst.txt
_faq: ========== Frequently Asked Questions ========== .. currentmodule::...dbscan(X, metric=lev_metric, eps=5, min_samples=2, algorithm='brute')...scikit-learn.org/stable/_sources/faq.rst.txt -
OrthogonalMatchingPursuit — scikit-learn 1.7.0 ...
n_nonzero_coefs = None , tol = None , fit_intercept = True , precompute...>>> X , y = make_regression ( noise = 4 , random_state = 0 ) >>>...scikit-learn.org/stable/modules/generated/sklearn.linear_model.OrthogonalMatchingPursuit.html -
make_scorer — scikit-learn 1.7.0 documentation
response_method = 'default' , greater_is_better = True , ** kwargs...ftwo_scorer = make_scorer ( fbeta_score , beta = 2 ) >>> ftwo_scorer...scikit-learn.org/stable/modules/generated/sklearn.metrics.make_scorer.html -
VarianceThreshold — scikit-learn 1.7.0 document...
VarianceThreshold ( threshold = 0.0 ) [source] # Feature selector...Parameters : threshold float, default=0 Features with a training-set...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.VarianceThreshold.html -
mean_variance_axis — scikit-learn 1.7.0 documen...
weights = None , return_sum_weights = False ) [source]...each feature if axis=0 or each sample if axis=1 . Added in version...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.mean_variance_axis.html -
oas — scikit-learn 1.7.0 documentation
>>> X = rng . multivariate_normal ( mean = [ 0 , 0 ], cov = real_cov...>>> rng = np . random . RandomState ( 0 ) >>> real_cov = [[ .8...scikit-learn.org/stable/modules/generated/oas-function.html -
NearestCentroid — scikit-learn 1.7.0 documentation
metric = 'euclidean' , * , shrink_threshold = None , priors = 'uniform'...>>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2 ]) >>> clf = NearestCentroid...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html -
mean_pinball_loss — scikit-learn 1.7.0 document...
sample_weight = None , alpha = 0.5 , multioutput = 'uniform_average'...absolute error when alpha=0.5 , alpha=0.95 is minimized by estimators...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_pinball_loss.html -
LeaveOneOut — scikit-learn 1.7.0 documentation
Train: index=[1] Test: index=[0] Fold 1: Train: index=[0] Test:...equivalent to KFold(n_splits=n) and LeavePOut(p=1) where n is the number...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeaveOneOut.html