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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 -
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 -
plot_classifier_comparison.ipynb
the dataset first\n cm = plt.cm.RdBu\n cm_bright = ListedColormap([\"#FF0000\",...X_train[:, 1], c=y_train, cmap=cm_bright, edgecolors=\"k\")\n #...scikit-learn.org/stable/_downloads/3438aba177365cb595921cf18806dfa7/plot_classifier_comparison.ipynb -
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 -
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 -
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 -
Recursive feature elimination — scikit-learn 1....
cm . Blues ) plt . colorbar () plt...scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_digits.html -
Neighborhood Components Analysis Illustration —...
as np from matplotlib import cm from scipy.special import logsumexp...], X [ i , 1 ], s = 300 , c = cm . Set1 ( y [[ i ]]), alpha =...scikit-learn.org/stable/auto_examples/neighbors/plot_nca_illustration.html -
plot_classifier_comparison.rst.txt
plot the dataset first cm = plt.cm.RdBu cm_bright = ListedColormap(["#FF0000",...X_train[:, 1], c=y_train, cmap=cm_bright, edgecolors="k") # Plot...scikit-learn.org/stable/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt -
Compressive sensing: tomography reconstruction ...
cm . gray , interpolation = "nearest"...imshow ( rec_l2 , cmap = plt . cm . gray , interpolation = "nearest"...scikit-learn.org/stable/auto_examples/applications/plot_tomography_l1_reconstruction.html