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35273367 width=64, height=64, bitDepth=8, colorType=RGBAlpha, c...whitePointX=31270, whitePointY=32900, redX=64000, redY=33000, greenX=30000,...www.elastic.co/favicon_64x64_16bit.png -
det_curve — scikit-learn 1.6.1 documentation
pos_label = None , sample_weight = None ) [source] #...default=None The label of the positive class. When pos_label=None...scikit-learn.org/stable/modules/generated/sklearn.metrics.det_curve.html -
Decision Boundaries of Multinomial and One-vs-R...
n_samples = 1_000 , centers = centers , random_state = 40 ) transformation..., ax = plt . subplots ( figsize = ( 6 , 4 )) scatter = ax . scatter...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_multinomial.html -
Poisson regression and non-normal loss — scikit...
axes = plt . subplots ( nrows = 2 , ncols = 4 , figsize = ( 16..., ax = plt . subplots ( nrows = 2 , ncols = 2 , figsize = ( 12...scikit-learn.org/stable/auto_examples/linear_model/plot_poisson_regression_non_normal_loss.html -
Multilabel classification — scikit-learn 1.6.1 ...
if transform == "pca" : X = PCA ( n_components = 2 ) . fit_transform...elif transform == "cca" : X = CCA ( n_components = 2 ) . fit ( X...scikit-learn.org/stable/auto_examples/miscellaneous/plot_multilabel.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 -
ClassifierTags — scikit-learn 1.6.1 documentation
poor_score : bool = False , multi_class : bool = True , multi_label...make_blobs(n_samples=300, random_state=0) . The datasets and...scikit-learn.org/stable/modules/generated/sklearn.utils.ClassifierTags.html -
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 -
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
