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Caching nearest neighbors — scikit-learn 1.7.0 ...
y = load_digits ( return_X_y = True ) n_neighbors_list = [ 1...graph_model = KNeighborsTransforme ( n_neighbors = max ( n_neighbors_list...scikit-learn.org/stable/auto_examples/neighbors/plot_caching_nearest_neighbors.html -
Ridge coefficients as a function of the L2 Regu...
w = make_regression ( n_samples = 100 , n_features = 10 ,...n_informative = 8 , coef = True , random_state = 1 ) # Obtain...scikit-learn.org/stable/auto_examples/linear_model/plot_ridge_coeffs.html -
SparseCoder — scikit-learn 1.7.0 documentation
transform_alpha = None , split_sign = False , n_jobs = None , positive_code...default=None If algorithm='lasso_lars' or algorithm='lasso_cd'...scikit-learn.org/stable/modules/generated/sklearn.decomposition.SparseCoder.html -
Principal Component Analysis (PCA) on Iris Data...
projection = "3d" , elev =- 150 , azim = 110 ) X_reduced = PCA ( n_components...PCA fig = plt . figure ( 1 , figsize = ( 8 , 6 )) ax = fig . add_subplot...scikit-learn.org/stable/auto_examples/decomposition/plot_pca_iris.html -
set_config — scikit-learn 1.7.0 documentation
assume_finite = None , working_memory = None , print_changed_only = None...None , display = None , pairwise_dist_chunk_size = None , enabl...scikit-learn.org/stable/modules/generated/sklearn.set_config.html -
Dimensionality Reduction with Neighborhood Comp...
n_neighbors = 3 random_state = 0 # Load Digits dataset X , y = datasets...stratify = y , random_state = random_state ) dim = len ( X [ 0 ])...scikit-learn.org/stable/auto_examples/neighbors/plot_nca_dim_reduction.html -
lasso_path — scikit-learn 1.7.0 documentation
precompute = 'auto' , Xy = None , copy_X = True , coef_init = None...y , * , eps = 0.001 , n_alphas = 100 , alphas = None , precompute...scikit-learn.org/stable/modules/generated/sklearn.linear_model.lasso_path.html -
RationalQuadratic — scikit-learn 1.7.0 document...
length_scale = 1.0 , alpha = 1.0 , length_scale_bounds = (1e-05, 100000.0)...>>> X , y = load_iris ( return_X_y = True ) >>> kernel = RationalQuadratic...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RationalQuadratic.html -
KernelDensity — scikit-learn 1.7.0 documentation
metric = 'euclidean' , atol = 0 , rtol = 0 , breadth_first = True..., bandwidth = 1.0 , algorithm = 'auto' , kernel = 'gaussian' ,...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KernelDensity.html -
SpectralEmbedding — scikit-learn 1.7.0 document...
n_components = 2 , * , affinity = 'nearest_neighbors' , gamma = None...random_state = None , eigen_solver = None , eigen_tol = 'auto' ,...scikit-learn.org/stable/modules/generated/sklearn.manifold.SpectralEmbedding.html