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Post-tuning the decision threshold for cost-sen...
fraudulent_refuse = ( mask_true_positive . sum () * 50 ) + amount [ mask_true_positive...y_true , y_pred , amount ): mask_true_positive = ( y_true ==...scikit-learn.org/stable/auto_examples/model_selection/plot_cost_sensitive_learning.html -
Isomap — scikit-learn 1.5.0 documentation
then radius must be None . radius float or None,...is a float, then n_neighbors must be set to None . Added in version...scikit-learn.org/stable/modules/generated/sklearn.manifold.Isomap.html -
Plot classification probability — scikit-learn ...
scatter ( X [ mask_y_pred , 0 ], X [ mask_y_pred , 1 ], marker...predicted to belong to given class mask_y_pred = y_pred == label axes...scikit-learn.org/stable/auto_examples/classification/plot_classification_probability.html -
KPN defends the business from malware and ranso...
who must keep up with the fast-changing...by foreign governments." KPN must also protect its infrastructure...www.elastic.co/customers/kpn -
Kernel Density Estimate of Species Distribution...
:: 5 ] land_mask = ( land_reference > - 9999...ravel ()]) . T xy = xy [ land_mask ] xy *= np . pi / 180.0 # Plot...scikit-learn.org/stable/auto_examples/neighbors/plot_species_kde.html -
Slashdot: News for nerds, stuff that matters
particles and fumes into the masks worn by patients. It could be...Food and Drug Administration -- must be met first. The move by a...devices.slashdot.org -
Developing scikit-learn estimators — scikit-lea...
number of methods an object must implement. Elements of the scikit-learn...precomputed kernels where this data must be stored for use by the predict...scikit-learn.org/stable/developers/develop.html -
Pipeline — scikit-learn 1.5.0 documentation
the pipeline must be ‘transforms’, that is, they must implement...all steps must define fit . All non-last steps must also define...scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html -
grid_to_graph — scikit-learn 1.5.0 documentation
mask = mask ) >>> print ( graph ) (0,...grid_to_graph ( n_x , n_y , n_z=1 , * , mask=None , return_as=<class 'sc...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.grid_to_graph.html -
Pixel importances with a parallel forest of tre...
mask = y < 5 X = X [ mask ] y = y [ mask ] A random...scikit-learn.org/stable/auto_examples/ensemble/plot_forest_importances_faces.html