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img_to_graph — scikit-learn 1.6.1 documentation
mask=None , return_as=<class 'scipy.sparse._coo.coo_matrix'>...width, channel), dtype=bool, default=None An optional mask of...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.img_to_graph.html -
Plot multi-class SGD on the iris dataset — scik...
mean ( axis = 0 ) std = X . std ( axis = 0 ) X = ( X - mean ) /...dataset X = iris . data [:, : 2 ] y = iris . target colors = "bry"...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_iris.html -
plot_multi_metric_evaluation.rst.txt
py: ========== Demonstration of multi-metric...cross_val_score and GridSearchCV ========== Multiple metric parameter...scikit-learn.org/stable/_sources/auto_examples/model_selection/plot_multi_metric_evaluation.rst.txt -
Plot class probabilities calculated by the Voti...
random_state = 123 ) clf2 = RandomForestClassifi ( n_estimators = 100..., random_state = 123 ) clf3 = GaussianNB () X = np . array ([[...scikit-learn.org/stable/auto_examples/ensemble/plot_voting_probas.html -
83d678908051d0ad.css
ype=button]),input:where([type=reset]),input:where([type=sub...e :where([class~=lead]):not(:where([class~=not-prose] *)){co...www.elastic.co/observability-labs/_next/static/css/83d678908051d0ad.css -
DistanceMetric — scikit-learn 1.6.1 documentation
y) >= 0 Identity: d(x, y) = 0 if and only if x == y Symmetry:...dist = DistanceMetric . get_metric ( 'euclidean' ) >>> X = [[ 1...scikit-learn.org/stable/modules/generated/sklearn.metrics.DistanceMetric.html -
Version 0.21 — scikit-learn 1.6.1 documentation
where init = 'nndsvd' , init = 'nndsvda' , and init = 'nndsvdar'...when X had a boolean dtype and Y == None . #13864 by Paresh Mathur...scikit-learn.org/stable/whats_new/v0.21.html -
Effect of model regularization on training and ...
n_informative = 50 , shuffle = False , noise = 1.0 , coef = True , random_state...color = "k" , linewidth = 2 , linestyle = "--" , label = f "Optimum...scikit-learn.org/stable/auto_examples/model_selection/plot_train_error_vs_test_error.html -
log_loss — scikit-learn 1.6.1 documentation
normalize = True , sample_weight = None , labels = None ) [source]...probability estimate \(p = \operatorname{Pr}(y = 1)\) , the log loss...scikit-learn.org/stable/modules/generated/sklearn.metrics.log_loss.html -
RadiusNeighborsTransformer — scikit-learn 1.6.1...
leaf_size = 30 , metric = 'minkowski' , p = 2 , metric_params = None...* , mode = 'distance' , radius = 1.0 , algorithm = 'auto' , leaf_size...scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsTransformer.html