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Results 21 - 30 of 189 for cms (0.03 sec)
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RBF SVM parameters — scikit-learn 1.4.2 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 -
Nearest Neighbors Classification — scikit-learn...
[[ "sepal length (cm)" , "sepal width (cm)" ]] y = iris . target...scikit-learn.org/stable/auto_examples/neighbors/plot_classification.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 -
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 -
Selecting the number of clusters with silhouett...
cm as cm import matplotlib.pyplot as...y_lower + size_cluster_i color = cm . nipy_spectral ( float ( i )...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_silhouette_analysis.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 -
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 -
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 -
Vector Quantization Example — scikit-learn 1.4....
cm . gray ) ax [ 0 ] . axis ( "off"...compressed_raccoon_uniform , cmap = plt . cm . gray ) ax [ 0 ] . axis ( "off"...scikit-learn.org/stable/auto_examples/cluster/plot_face_compress.html -
Plot classification probability — scikit-learn ...
as np 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