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Visualizing cross-validation behavior in scikit...
c = groups , marker = "_" , lw = 50 , cmap = cmap_data...groups ), c = classes , marker = "_" , lw = 50 , cmap = cmap_data...scikit-learn.org/stable/auto_examples/model_selection/plot_cv_indices.html -
alter-step2-failure-log.png
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Comparing anomaly detection algorithms for outl...
( left = 0.02 , right = 0.98 , bottom = 0.001 , top = 0.96 ,..., wspace = 0.05 , hspace = 0.01 ) plot_num = 1 rng = np . random...scikit-learn.org/stable/auto_examples/miscellaneous/plot_anomaly_comparison.html -
AgglomerativeClustering — scikit-learn 1.7.1 do...
n_clusters = 2 , * , metric = 'euclidean' , memory = None , connectivity...connectivity = None , compute_full_tree = 'auto' , linkage = 'ward'...scikit-learn.org/stable/modules/generated/sklearn.cluster.AgglomerativeClustering.html -
Species distribution modeling — scikit-learn 1....
end = "" ) clf = svm . OneClassSVM ( nu = 0.1 , kernel = "rbf"...lat" ], s = 2 ** 2 , c = "black" , marker = "^" , label = "train"...scikit-learn.org/stable/auto_examples/applications/plot_species_distribution_modeling.html -
Varying regularization in Multi-layer Perceptro...
( solver = "lbfgs" , alpha = alpha , random_state = 1 , max_iter...max_iter = 2000 , early_stopping = True , hidden_layer_sizes = [ 10...scikit-learn.org/stable/auto_examples/neural_networks/plot_mlp_alpha.html -
Sparse coding with a precomputed dictionary — s...
subsampling = 3 # subsampling factor width = 100 n_components = resolution...D_fixed = ricker_matrix ( width = width , resolution = resolution...scikit-learn.org/stable/auto_examples/decomposition/plot_sparse_coding.html -
intro-top-snapshot.png
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