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FeatureHasher — scikit-learn 1.7.2 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 -
RandomizedSearchCV — scikit-learn 1.7.2 documen...
2 0.84 … 3 ‘rbf’ 0.3 0.70 … 2 will be represented...verbose = 0 , pre_dispatch = '2*n_jobs' , random_state = None...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html -
AgglomerativeClustering — scikit-learn 1.7.2 do...
2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2 ], [ 4 , 4...AgglomerativeCluster ( n_clusters = 2 , * , metric = 'euclidean' , memory...scikit-learn.org/stable/modules/generated/sklearn.cluster.AgglomerativeClustering.html -
Ridge — scikit-learn 1.7.2 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 -
Kernel — scikit-learn 1.7.2 documentation
length_scale = 2.0 ) >>> X = np . array ([[ 1 , 2 ], [ 3 , 4 ]])..., X if Y is None else Y ) ** 2 ... def diag ( self , X ): ......scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Kernel.html -
GaussianProcessRegressor — scikit-learn 1.7.2 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 1.7.2 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 -
MiniBatchDictionaryLearning — scikit-learn 1.7....
_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 -
ClassifierMixin — scikit-learn 1.7.2 documentation
2 ], [ 2 , 3 ], [ 3 , 4 ]]) >>> y =...scikit-learn.org/stable/modules/generated/sklearn.base.ClassifierMixin.html -
KNNImputer — scikit-learn 1.7.2 documentation
n_neighbors = 2 ) >>> imputer . fit_transform ( X ) array([[1. , 2. , 4....always 0 . Added in version 1.2. Attributes : indicator_ MissingIndicator...scikit-learn.org/stable/modules/generated/sklearn.impute.KNNImputer.html