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Results 11 - 20 of 117 for cms (0.04 sec)
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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 -
Introducing the set_output API — scikit-learn 1...
length (cm) sepal width (cm) petal length (cm) petal width (cm) 60...length (cm) sepal width (cm) petal length (cm) petal width (cm) 39...scikit-learn.org/stable/auto_examples/miscellaneous/plot_set_output.html -
7.1. Toy datasets — scikit-learn 1.4.2 document...
length in cm sepal width in cm petal length in cm petal width...width in cm class: Iris-Setosa Iris-Versicolour Iris-Virginica Summary...scikit-learn.org/stable/datasets/toy_dataset.html -
Manifold Learning methods on a severed sphere —...
cm . rainbow ) ax . view_init (...], c = colors , cmap = plt . cm . rainbow ) plt . title ( " %s...scikit-learn.org/stable/auto_examples/manifold/plot_manifold_sphere.html -
Plot different SVM classifiers in the iris data...
cm . coolwarm , alpha = 0.8 , ax...X0 , X1 , c = y , cmap = plt . cm . coolwarm , s = 20 , edgecolors...scikit-learn.org/stable/auto_examples/svm/plot_iris_svc.html -
sklearn.tree.export_text — scikit-learn 1.4.2 d...
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/generated/sklearn.tree.export_text.html -
Iso-probability lines for Gaussian Processes cl...
as np from matplotlib import cm from matplotlib import pyplot...plt . imshow ( y_prob , cmap = cm . gray_r , alpha = 0.8 , extent...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_isoprobability.html -
A demo of the Spectral Co-Clustering algorithm ...
cm . Blues ) plt . title ( "Original...matshow ( data , cmap = plt . cm . Blues ) plt . title ( "Shuffled...scikit-learn.org/stable/auto_examples/bicluster/plot_spectral_coclustering.html -
Feature agglomeration — scikit-learn 1.4.2 docu...
cm . gray , vmax = 16 , interpolation...images_restored [ i ], cmap = plt . cm . gray , vmax = 16 , interpolation...scikit-learn.org/stable/auto_examples/cluster/plot_digits_agglomeration.html -
Visualizing the stock market structure — scikit...
cm . nipy_spectral ) # Plot the...segments , zorder = 0 , cmap = plt . cm . hot_r , norm = plt . Normalize...scikit-learn.org/stable/auto_examples/applications/plot_stock_market.html