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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 -
export_text — scikit-learn 1.5.0 documentation
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 -
Varying regularization in Multi-layer Perceptro...
the dataset first cm = plt . cm . RdBu cm_bright = ListedColormap...[:, 1 ], c = y_train , cmap = cm_bright ) # and testing points...scikit-learn.org/stable/auto_examples/neural_networks/plot_mlp_alpha.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 -
Recognizing hand-written digits — scikit-learn ...
range ( len ( cm )): for pred in range ( len ( cm )): y_true +=...[ gt ] * cm [ gt ][ pred ] y_pred += [ pred ] * cm [ gt ][ pred...scikit-learn.org/stable/auto_examples/classification/plot_digits_classification.html -
Visualizations with Display Objects — scikit-le...
X_test ) cm = confusion_matrix ( y_test , y_pred ) cm_display...cm_display = ConfusionMatrixDispl ( cm ) . plot () Create RocCurveDisplay...scikit-learn.org/stable/auto_examples/miscellaneous/plot_display_object_visualization.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 -
Empirical evaluation of the impact of k-means i...
cm as cm import matplotlib.pyplot as...my_members = km . labels_ == k color = cm . nipy_spectral ( float ( k )...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_stability_low_dim_dense.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 -
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