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Non-linear SVM — scikit-learn 1.4.2 documentation
cm . PuOr_r , ) contours = plt ....s = 30 , c = Y , cmap = plt . cm . Paired , edgecolors = "k" )...scikit-learn.org/stable/auto_examples/svm/plot_svm_nonlinear.html -
The Johnson-Lindenstrauss bound for embedding w...
cm . Blues ( np . linspace ( 0.3...( 2 , 6 , 5 ) colors = plt . cm . Blues ( np . linspace ( 0.3...scikit-learn.org/stable/auto_examples/miscellaneous/plot_johnson_lindenstrauss_bound.html -
Plot classification probability — scikit-learn ...
as np from matplotlib import cm from sklearn import datasets..."Probability" ) _ = plt . colorbar ( cm . ScalarMappable ( norm = None...scikit-learn.org/stable/auto_examples/classification/plot_classification_probability.html -
Hierarchical clustering: structured vs unstruct...
cm . jet ( float ( l ) / np . max...label == l , 2 ], color = plt . cm . jet ( float ( l ) / np . max...scikit-learn.org/stable/auto_examples/cluster/plot_ward_structured_vs_unstructured.html -
1.10. Decision Trees — scikit-learn 1.4.2 docum...
width (cm) <= 0.80 | |--- class: 0 |--- petal width (cm) > 0.80...width (cm) <= 1.75 | | |--- class: 1 | |--- petal width (cm) > 1.75...scikit-learn.org/stable/modules/tree.html -
A demo of structured Ward hierarchical clusteri...
cm . gray ) for l in range ( n_clusters...label == l , colors = [ plt . cm . nipy_spectral ( l / float (...scikit-learn.org/stable/auto_examples/cluster/plot_coin_ward_segmentation.html -
Kernel Density Estimation — scikit-learn 1.4.2 ...
cm . binary , interpolation = "nearest"...reshape (( 8 , 8 )), cmap = plt . cm . binary , interpolation = "nearest"...scikit-learn.org/stable/auto_examples/neighbors/plot_digits_kde_sampling.html -
Plot multi-class SGD on the iris dataset — scik...
cm . Paired , ax = ax , response_method...target_names [ i ], cmap = plt . cm . Paired , edgecolor = "black"...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_iris.html -
Release Highlights for scikit-learn 0.24 — scik...
scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_24_0.html -
Plot multinomial and One-vs-Rest Logistic Regre...
cm . Paired , ax = ax ) plt . title...1 ], c = color , cmap = plt . cm . Paired , edgecolor = "black"...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_multinomial.html