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Pipelines and composite estimators — scikit-lea...
from other estimators. See the User Guide . Column Transformer...main content Back to top Ctrl + K GitHub Choose version Pipelines...scikit-learn.org/stable/auto_examples/compose/index.html -
PrecisionRecallDisplay — scikit-learn 1.7.2 doc...
train_test_split ( X , y , ... random_state = 0 ) >>> clf = SVC ( random_state...precision , recall = recall ) >>> disp . plot () <...> >>> plt . show...scikit-learn.org/stable/modules/generated/sklearn.metrics.PrecisionRecallDisplay.html -
mean_tweedie_deviance — scikit-learn 1.7.2 docu...
= [ 2 , 0 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5 , 2. , 2. ] >>>...mean_tweedie_deviance ( y_true , y_pred , power = 1 ) 1.4260... Gallery examples...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_tweedie_deviance.html -
RFE — scikit-learn 1.7.2 documentation
array([1, 1, 1, 1, 1, 6, 4, 3, 2, 5]) decision_function ( X ) [source]...vector machines”, Mach. Learn., 46(1-3), 389–422, 2002. Examples The...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFE.html -
plot_pca_iris.py
of the Iris dataset # ---------- # # Let's first plot the pairs...title="Classes", ) ax.add_artist(legend1) plt.show() # %% # PCA...scikit-learn.org/stable/_downloads/1168f82083b3e70f31672e7c33738f8d/plot_pca_iris.py -
log_loss — scikit-learn 1.7.2 documentation
log_loss ([ "spam" , "ham" , "ham" , "spam" ], ... [[ .1 , .9 ], [...[ .9 , .1 ], [ .8 , .2 ], [ .35 , .65 ]]) 0.21616 Gallery examples...scikit-learn.org/stable/modules/generated/sklearn.metrics.log_loss.html -
mean_poisson_deviance — scikit-learn 1.7.2 docu...
= [ 2 , 0 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5 , 2. , 2. ] >>>...mean_poisson_deviance ( y_true , y_pred ) 1.4260... Gallery examples # Poisson...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_poisson_deviance.html -
Select | Deals, Tips and Product Reviews | Sele...
Comforter $210.00 $279.00 Amazon $237.00 $279.00 Brooklinen DIFFBOT...Legging $70.00 $108.00 Alo Adidas Italia 70s Men’s Shoe $84.99 $110.00...www.nbcnews.com/select -
make_moons — scikit-learn 1.7.2 documentation
datasets. make_moons ( n_samples = 100 , * , shuffle = True , noise...tuple of shape (2,), dtype=int, default=100 If int, the total number...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_moons.html -
plot_classifier_comparison.zip
= X[:, 0].min() - 0.5, X[:, 0].max() + 0.5 y_min, y_max = X[:,...X[:, 1].min() - 0.5, X[:, 1].max() + 0.5 # just plot the dataset...scikit-learn.org/stable/_downloads/ce35bcc69acbd491cf7ac77fa17889d5/plot_classifier_comparison.zip