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Kernel Density Estimation — scikit-learn 1.5.0 ...
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 -
S2ClassBuilder | DBFlute
cms.classbuilder.impl.RedefinableXmlS2Cont"...<component class="org.seasar.cms.classbuilder.impl.RedefinableResourceR"...dbflute.seasar.org/ja/manual/topic/friends/seas... -
SVM Exercise — scikit-learn 1.5.0 documentation
cm . Paired , edgecolor = "k" ,...XX , YY , Z > 0 , cmap = plt . cm . Paired ) plt . contour ( XX...scikit-learn.org/stable/auto_examples/exercises/plot_iris_exercise.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 -
Recursive feature elimination — scikit-learn 1....
cm . Blues ) # Add annotations for...scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_digits.html -
SVM: Weighted samples — scikit-learn 1.5.0 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 -
Nearest Neighbors Classification — scikit-learn...
[[ "sepal length (cm)" , "sepal width (cm)" ]] y = iris . target...scikit-learn.org/stable/auto_examples/neighbors/plot_classification.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 -
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