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cross_validation.rst.txt
and test sets can be quickly computed with the :func:`train_test_split`...it is used as a test set to compute a performance measure such...scikit-learn.org/stable/_sources/modules/cross_validation.rst.txt -
incr_mean_variance_axis — scikit-learn 1.6.1 do...
weights = None ) [source] # Compute incremental mean and variance...last_var are the statistics computed at the last step by this function....scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.incr_mean_variance_axis.html -
MaxAbsScaler — scikit-learn 1.6.1 documentation
y = None ) [source] # Compute the maximum absolute value...n_features) The data used to compute the per-feature minimum and...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MaxAbsScaler.html -
fbeta_score — scikit-learn 1.6.1 documentation
zero_division = 'warn' ) [source] # Compute the F-beta score. The F-beta...score for both classes are computed, then averaged or both returned...scikit-learn.org/stable/modules/generated/sklearn.metrics.fbeta_score.html -
Elasticsearch Serverless pricing | Elastic
Serverless charges separately for compute (VCUs with 1GB RAM) and storage...goals. Learn more Virtual Compute Unit (VCU) There are three...www.elastic.co/pricing/serverless-search -
Gradient Boosting regression — scikit-learn 1.6...
To do that we will first compute the test set deviance and then...importances of reg can be computed on a held out test set. See...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regression.html -
Matern — scikit-learn 1.6.1 documentation
incur a considerably higher computational cost (appr. 10 times higher)...the kernel hyperparameter is computed. Only supported when Y is...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Matern.html -
accuracy_score — scikit-learn 1.6.1 documentation
this function computes subset accuracy: the set of...also balanced_accuracy_score Compute the balanced accuracy to deal...scikit-learn.org/stable/modules/generated/sklearn.metrics.accuracy_score.html -
Multiclass Receiver Operating Characteristic (R...
consists in computing a ROC curve per each of the...classes (using numpy.ravel ) to compute the average metrics as follows:...scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html -
NearestNeighbors — scikit-learn 1.6.1 documenta...
default=’auto’ Algorithm used to compute the nearest neighbors: ‘ball_tree’...Metric to use for distance computation. Default is “minkowski”,...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestNeighbors.html