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Results 41 - 50 of 132 for cms (0.86 sec)
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Kernel Density Estimation — scikit-learn 1.7.2 ...
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 -
Label Propagation digits: Active learning — sci...
true_labels = y [ unlabeled_indices ] cm = confusion_matrix ( true_labels..."Confusion matrix" ) print ( cm ) # compute the entropies of...scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_digits_active_learni... -
Compare the effect of different scalers on data...
5 cmap = getattr ( cm , "plasma_r" , cm . hot_r ) def create_axes...as np from matplotlib import cm from matplotlib import pyplot...scikit-learn.org/stable/auto_examples/preprocessing/plot_all_scaling.html -
1.10. Decision Trees — scikit-learn 1.7.2 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 -
RBF SVM parameters — scikit-learn 1.7.2 documen...
cm . RdBu ) plt . scatter ( X_2d...1 ], c = y_2d , cmap = plt . cm . RdBu_r , edgecolors = "k" )...scikit-learn.org/stable/auto_examples/svm/plot_rbf_parameters.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 -
Plot classification probability — scikit-learn ...
as pd 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 -
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 -
SVM: Weighted samples — scikit-learn 1.7.2 docu...
cm . bone , edgecolors = "black"...0.75 , ax = axis , cmap = plt . cm . bone , ) axis . axis ( "off"...scikit-learn.org/stable/auto_examples/svm/plot_weighted_samples.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