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sklearn.preprocessing.SplineTransformer — sciki...
extrapolation {‘error’, ‘constant’, ‘linear’, ‘continue’, ‘periodic’}, default=’constant’...linear models. order {‘C’, ‘F’}, default=’C’ Order of output array...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.SplineTransformer.html -
sklearn.decomposition.SparseCoder — scikit-lear...
transform_algorithm {‘lasso_lars’, ‘lasso_cd’, ‘lars’, ‘omp’, ‘threshold’}, default=’omp’...default=’omp’ Algorithm used to transform the data: 'lars' : uses...scikit-learn.org/stable/modules/generated/sklearn.decomposition.SparseCoder.html -
Segmenting the picture of greek coins in region...
used: eigen_solver='arpack', 'lobpcg', or 'amg'. # Choosing eigen_solver='amg'...set eigen_solver='arpack', 'lobpcg', or 'amg' and eigen_tol #...scikit-learn.org/stable/auto_examples/cluster/plot_coin_segmentation.html -
sklearn.decomposition.MiniBatchDictionaryLearni...
transform_algorithm {‘lasso_lars’, ‘lasso_cd’, ‘lars’, ‘omp’, ‘threshold’}, default=’omp’...fit_algorithm {‘lars’, ‘cd’}, default=’lars’ The algorithm used: 'lars'...scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchDictionaryLearning.html -
sklearn.decomposition.KernelPCA — scikit-learn ...
kernel {‘linear’, ‘poly’, ‘rbf’, ‘sigmoid’, ‘cosine’, ‘precomputed’}...eigen_solver {‘auto’, ‘dense’, ‘arpack’, ‘randomized’}, default=’auto’...scikit-learn.org/stable/modules/generated/sklearn.decomposition.KernelPCA.html -
sklearn.cluster.AgglomerativeClustering — sciki...
linkage {‘ward’, ‘complete’, ‘average’, ‘single’}, default=’ward’...compute_full_tree = 'auto' , linkage = 'ward' , distance_threshold...scikit-learn.org/stable/modules/generated/sklearn.cluster.AgglomerativeClustering.html -
sklearn.neighbors.KernelDensity — scikit-learn ...
kernel {‘gaussian’, ‘tophat’, ‘epanechnikov’, ‘exponential’, ‘linear’,...algorithm {‘kd_tree’, ‘ball_tree’, ‘auto’}, default=’auto’ The tree...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KernelDensity.html -
sklearn.neighbors.NeighborhoodComponentsAnalysi...
init {‘auto’, ‘pca’, ‘lda’, ‘identity’, ‘random’} or ndarray...options are 'auto' , 'pca' , 'lda' , 'identity' , 'random' , and a...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NeighborhoodComponentsAnalysis.html -
neighbors.rst.txt
valid_metrics ['euclidean', 'l2', 'minkowski', 'p', 'manhattan', 'cityblock',...cs ['euclidean', 'l2', 'minkowski', 'p', 'manhattan', 'cityblock',...scikit-learn.org/stable/_sources/modules/neighbors.rst.txt -
sklearn.tree.export_graphviz — scikit-learn 1.4...
label {‘all’, ‘root’, ‘none’}, default=’all’ Whether to show...Options include ‘all’ to show at every node, ‘root’ to show only...scikit-learn.org/stable/modules/generated/sklearn.tree.export_graphviz.html