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1.5. Stochastic Gradient Descent — scikit-learn...
[ 1. , 1. ]] >>> y = [ 0 , 1 ] >>> clf = SGDClassifier...\Vert^2 + b\nu + \frac{1}{n} \sum_{i=1}^n \max(0, 1 - (\langle w, x_i...scikit-learn.org/stable/modules/sgd.html -
GroupKFold — scikit-learn 1.6.1 documentation
index=[0 1 4 5], group=[0 0 3 3] Fold 1: Train: index=[0 1 4 5],...scikit-learn 1.4 Release Highlights for scikit-learn 1.4 Visualizing...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupKFold.html -
PassiveAggressiveClassifier — scikit-learn 1.6....
default=1.0 Maximum step size (regularization). Defaults to 1.0. fit_intercept...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveClassifier.html -
KernelPCA — scikit-learn 1.6.1 documentation
coef0 = 1 , kernel_params = None , alpha = 1.0 , fit_inverse_transform...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.decomposition.KernelPCA.html -
CCA — scikit-learn 1.6.1 documentation
1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ],...version 1.5: Y is deprecated in 1.5 and will be removed in 1.7. Use...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.CCA.html -
CountVectorizer — scikit-learn 1.6.1 documentation
[[0 1 1 1 0 0 1 0 1] [0 2 0 1 0 1 1 0 1] [1 0 0 1 1 0 1 1 1] [0...[[0 0 1 1 0 0 1 0 0 0 0 1 0] [0 1 0 1 0 1 0 1 0 0 1 0 0] [1 0 0...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html -
NearestNeighbors — scikit-learn 1.6.1 documenta...
() array([[1., 0., 1.], [0., 1., 1.], [1., 0., 1.]]) radius_neighbors...() array([[1., 0., 1.], [0., 1., 0.], [1., 0., 1.]]) set_params...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestNeighbors.html -
LabelBinarizer — scikit-learn 1.6.1 documentation
array([[1, 0, 0], [0, 1, 0], [0, 0, 1], [0, 1, 0]]) fit ( y ) [source]...array([1, 2, 4, 6]) >>> lb . transform ([ 1 , 6 ]) array([[1, 0,...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelBinarizer.html -
DotProduct — scikit-learn 1.6.1 documentation
1)\) priors on the coefficients of \(x_d (d = 1, . . ....nels. DotProduct ( sigma_0 = 1.0 , sigma_0_bounds = (1e-05, 100000.0)...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.DotProduct.html -
VotingRegressor — scikit-learn 1.6.1 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...KNeighborsRegressor () >>> X = np . array ([[ 1 , 1 ], [ 2 , 4 ], [ 3 , 9 ], [ 4...scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingRegressor.html