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Results 31 - 40 of 159 for cms (0.07 sec)
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Image denoising using dictionary learning — sci...
cm . gray , interpolation = "nearest"...0.5 , vmax = 0.5 , cmap = plt . cm . PuOr , interpolation = "nearest"...scikit-learn.org/stable/auto_examples/decomposition/plot_image_denoising.html -
Logistic Regression 3-class Classifier — scikit...
cm . Paired , ax = ax , response_method...edgecolors = "k" , cmap = plt . cm . Paired ) plt . xticks (())...scikit-learn.org/stable/auto_examples/linear_model/plot_iris_logistic.html -
SVM with custom kernel — scikit-learn 1.4.2 doc...
cm . Paired , ax = ax , response_method...[:, 1 ], c = Y , cmap = plt . cm . Paired , edgecolors = "k" )...scikit-learn.org/stable/auto_examples/svm/plot_custom_kernel.html -
SVM: Weighted samples — scikit-learn 1.4.2 docu...
cm . bone ) axis . scatter ( X [:,..., alpha = 0.9 , cmap = plt . cm . bone , edgecolors = "black"...scikit-learn.org/stable/auto_examples/svm/plot_weighted_samples.html -
Nearest Neighbors Classification — scikit-learn...
[[ "sepal length (cm)" , "sepal width (cm)" ]] y = iris . target...scikit-learn.org/stable/auto_examples/neighbors/plot_classification.html -
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 -
Sparse inverse covariance estimation — scikit-l...
cm . RdBu_r ) plt . xticks (())..., vmax = vmax , cmap = plt . cm . RdBu_r , ) plt . xticks (())...scikit-learn.org/stable/auto_examples/covariance/plot_sparse_cov.html -
Illustration of Gaussian process classification...
cm . PuOr_r , ) contours = plt ....s = 30 , c = Y , cmap = plt . cm . Paired , edgecolors = ( 0 ,...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_xor.html -
Release Highlights for scikit-learn 0.24 — scik...
selection: ['sepal length (cm)', 'petal width (cm)'] New PolynomialCountSketc...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_24_0.html -
Face completion with a multi-output estimators ...
cm . gray , interpolation = "nearest"...( image_shape ), cmap = plt . cm . gray , interpolation = "nearest"...scikit-learn.org/stable/auto_examples/miscellaneous/plot_multioutput_face_completion.html