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FeatureHasher — scikit-learn 1.5.2 documentation
'cat' : 2 , 'elephant' : 4 },{ 'dog' : 2 , 'run' : 5 }]...0., 0., 0., 0., 0., 2.], [ 0., 0., 0., -2., -5., 0., 0., 0., 0.,...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.FeatureHasher.html -
AdaBoostClassifier — scikit-learn 1.5.2 documen...
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 -
Ridge — scikit-learn 1.5.2 documentation
function: || y - Xw ||^ 2_2 + alpha * || w ||^ 2_2 This model solves...float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Ridge.html -
GaussianProcessRegressor — scikit-learn 1.5.2 d...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...implementation is based on Algorithm 2.1 of [RW2006] . In addition to...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessRegressor.html -
SpectralEmbedding — scikit-learn 1.5.2 document...
SpectralEmbedding ( n_components = 2 , * , affinity = 'nearest_neighbors'...Parameters : n_components int, default=2 The dimension of the projected...scikit-learn.org/stable/modules/generated/sklearn.manifold.SpectralEmbedding.html -
make_moons — scikit-learn 1.5.2 documentation
2 , random_state = 42 ) >>> X . shape (200, 2) >>> y ....n_samples int or tuple of shape (2,), dtype=int, default=100 If int,...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_moons.html -
make_biclusters — scikit-learn 1.5.2 documentation
shape (2, 10) >>> cols . shape (2, 20) Gallery examples...shape = ( 10 , 20 ), n_clusters = 2 , random_state = 42 ... ) >>>...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_biclusters.html -
confusion_matrix — scikit-learn 1.5.2 documenta...
= [ 2 , 0 , 2 , 2 , 0 , 1 ] >>> y_pred = [ 0 , 0 , 2 , 2 , 0...0 , 2 ] >>> confusion_matrix ( y_true , y_pred ) array([[2, 0,...scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix.html -
make_circles — scikit-learn 1.5.2 documentation
n_samples int or tuple of shape (2,), dtype=int, default=100 If int,...ndarray of shape (n_samples, 2) The generated samples. y ndarray...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_circles.html -
MiniBatchDictionaryLearning — scikit-learn 1.5....
_Fro ^ 2 + alpha * || U || _1 , 1 ( U , V ) with || V_k || _2 <=...X_hat - X ) ** 2 , axis = 1 ) / np . sum ( X ** 2 , axis = 1 ))...scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchDictionaryLearning.html