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make_s_curve — scikit-learn 1.7.2 documentation
X . shape (100, 3) >>> t . shape (100,) Gallery examples # Comparison...sklearn.datasets. make_s_curve ( n_samples = 100 , * , noise = 0.0 , random_state...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_s_curve.html -
locally_linear_embedding — scikit-learn 1.7.2 d...
solver. method {‘standard’, ‘hessian’, ‘modified’, ‘ltsa’}, default=’standard’...distances. eigen_solver {‘auto’, ‘arpack’, ‘dense’}, default=’auto’...scikit-learn.org/stable/modules/generated/sklearn.manifold.locally_linear_embedding.html -
get_scorer — scikit-learn 1.7.2 documentation
, - 1 , - 0.5 , 2 ], ( - 1 , 1 )) >>> y = np . array ([ 0 , 1...get_scorer ( "accuracy" ) >>> accuracy ( classifier , X , y ) 0.4 Gallery...scikit-learn.org/stable/modules/generated/sklearn.metrics.get_scorer.html -
RBFSampler — scikit-learn 1.7.2 documentation
1 , 1 ], [ 1 , 0 ], [ 0 , 1 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>>...https://people.eecs.berkeley.edu/~brecht/papers/08.rah.rec.nips.pdf ) Examples >>>...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.RBFSampler.html -
cosine_similarity — scikit-learn 1.7.2 document...
= [[ 0 , 0 , 0 ], [ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 ,..., 1 , 0 ]] >>> cosine_similarity ( X , Y ) array([[0. , 0. ],...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.cosine_similarity.html -
IsolationForest — scikit-learn 1.7.2 documentation
max_samples = 'auto' , contamination = 'auto' , max_features = 1.0 , bootstrap...from 0.1 to 'auto' . max_features int or float, default=1.0 The...scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html -
ConstantKernel — scikit-learn 1.7.2 documentation
True ) (array([606.1]), array([0.248])) __call__ ( X , Y = None...constant_value = 1.0 , constant_value_bounds = (1e-05, 100000.0) ) [source]...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.ConstantKernel.html -
partial_dependence — scikit-learn 1.7.2 documen...
None , response_method = 'auto' , percentiles = (0.05, 0.95) ,...feature (e.g. [0] ) or pair of interacting features (e.g. [(0, 1)]...scikit-learn.org/stable/modules/generated/sklearn.inspection.partial_dependence.html -
fetch_lfw_people — scikit-learn 1.7.2 documenta...
False , slice_ = (slice(70, 195, None), slice(78, 172, None)) , download_if_missing...slice(78, 172)) Provide a custom 2D slice (height, width) to extract...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_lfw_people.html -
get_data_home — scikit-learn 1.7.2 documentation
get_data_home () >>> os . path . exists ( data_home_path ) True Gallery...examples # Out-of-core classification of text documents Out-of-core...scikit-learn.org/stable/modules/generated/sklearn.datasets.get_data_home.html