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DotProduct — scikit-learn 1.7.2 documentation
. . , D)\) and a prior of \(N(0, \sigma_0^2)\) on the bias. The...2 ,:], return_std = True ) (array([653.0, 592.1]), array([316.6,...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.DotProduct.html -
RBF — scikit-learn 1.7.2 documentation
[: 2 ,:]) array([[0.8354, 0.03228, 0.1322], [0.7906, 0.0652, 0.1441]])...load_iris ( return_X_y = True ) >>> kernel = 1.0 * RBF ( 1.0 ) >>>...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RBF.html -
PassiveAggressiveClassifier — scikit-learn 1.7....
n_samples / (n_classes * np.bincount(y)) . Added in version 0.17: parameter...sklearn.linear_model. PassiveAggressiveCla ( * , C = 1.0 , fit_intercept...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveClassifier.html -
LinearRegression — scikit-learn 1.7.2 documenta...
np . array ([[ 1 , 1 ], [ 1 , 2 ], [ 2 , 2 ], [ 2 , 3 ]]) >>>...>>> # y = 1 * x_0 + 2 * x_1 + 3 >>> y = np . dot ( X , np . array...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html -
f_regression — scikit-learn 1.7.2 documentation
array([1.21, 2.67e13, 2.66]) >>> p_values array([0.276, 1.54e-283,...as: E [( X [:, i ] - mean ( X [:, i ])) * ( y - mean ( y ))] / (...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.f_regression.html -
LabelSpreading — scikit-learn 1.7.2 documentation
label_prop_model . fit ( iris . data , labels ) LabelSpreading(...) fit (...rand ( len ( iris . target )) < 0.3 >>> labels = np . copy ( iris...scikit-learn.org/stable/modules/generated/sklearn.semi_supervised.LabelSpreading.html -
check_estimator — scikit-learn 1.7.2 documentation
status ( one of "xfail" , "failed" , "skipped" , "passed" ), "expected_to_fail"...Literal [ "xfail" , "failed" , "skipped" , "passed" ], expected_to_fail...scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.check_estimator.html -
Kernel Approximation — scikit-learn 1.7.2 docum...
top Ctrl + K GitHub Choose version Kernel Approximation # Examples...concerning the sklearn.kernel_approximation module. Scalable learning...scikit-learn.org/stable/auto_examples/kernel_approximation/index.html -
SequentialFeatureSelector — scikit-learn 1.7.2 ...
"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 -
consensus_score — scikit-learn 1.7.2 documentation
metrics. consensus_score ( a , b , * , similarity = 'jaccard' ) [source]...consensus_score ( a , b , similarity = 'jaccard' ) 1.0 Gallery examples...scikit-learn.org/stable/modules/generated/sklearn.metrics.consensus_score.html