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Results 41 - 50 of 132 for cms (0.04 sec)
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Nearest Neighbors Classification — scikit-learn...
[[ "sepal length (cm)" , "sepal width (cm)" ]] y = iris . target...scikit-learn.org/stable/auto_examples/neighbors/plot_classification.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 -
Release Highlights for scikit-learn 0.24 — scik...
scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_24_0.html -
Plot multi-class SGD on the iris dataset — scik...
cm . Paired , ax = ax , response_method...target_names [ i ], cmap = plt . cm . Paired , edgecolor = "black"...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_iris.html -
Manifold learning on handwritten digits: Locall...
cm . binary ) ax . axis ( "off"...} $" , s = 60 , color = plt . cm . Dark2 ( digit ), alpha = 0.425...scikit-learn.org/stable/auto_examples/manifold/plot_lle_digits.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 -
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 -
Plot multinomial and One-vs-Rest Logistic Regre...
cm . Paired , ax = ax ) plt . title...1 ], c = color , cmap = plt . cm . Paired , edgecolor = "black"...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_multinomial.html -
Recursive feature elimination — scikit-learn 1....
cm . Blues ) plt . colorbar () plt...scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_digits.html -
Plot the decision surface of decision trees tra...
cm . RdYlBu , response_method =...target_names [ i ], cmap = plt . cm . RdYlBu , edgecolor = "black"...scikit-learn.org/stable/auto_examples/tree/plot_iris_dtc.html