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scale — scikit-learn 1.7.0 documentation
default=0 Axis used to compute the means and standard deviations...missing values: disregarded to compute the statistics, and maintained...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.scale.html -
LassoCV — scikit-learn 1.7.0 documentation
See also lars_path Compute Least Angle Regression or Lasso...LARS algorithm. lasso_path Compute Lasso path with coordinate...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoCV.html -
Nystroem — scikit-learn 1.7.0 documentation
computes kernel on these and computes normalization...number of jobs to use for the computation. This works by breaking down...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.Nystroem.html -
average_precision_score — scikit-learn 1.7.0 do...
sample_weight = None ) [source] # Compute average precision (AP) from...interpolated and is different from computing the area under the precision-recall...scikit-learn.org/stable/modules/generated/sklearn.metrics.average_precision_score.html -
Logstash Reference [8.18] | Elastic
Pipelines Pipeline-to-pipeline communication Reloading the Config File...Pipelines Logstash-to-Logstash communication Logstash-to-Logstash: Lumberjack...www.elastic.co/guide/en/logstash/8.18/index.html -
RandomizedSearchCV — scikit-learn 1.7.0 documen...
>1 : the computation time for each fold and parameter...the starting time of the computation. pre_dispatch int, or str,...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html -
MinCovDet — scikit-learn 1.7.0 documentation
the covariance estimates is computed, and a covariance estimate...and covariance are directly computed with the FastMCD algorithm...scikit-learn.org/stable/modules/generated/sklearn.covariance.MinCovDet.html -
The current state of MCP (Model Context Protoco...
gRPC for micro-service communication. MCP not only shares the...Just as HTTP standardized communication between browsers and websites,...www.elastic.co/search-labs/blog/mcp-current-state -
BayesianGaussianMixture — scikit-learn 1.7.0 do...
makes it more efficient to compute the log-likelihood of new samples...makes it more efficient to compute the log-likelihood of new samples...scikit-learn.org/stable/modules/generated/sklearn.mixture.BayesianGaussianMixture.html -
roc_auc_score — scikit-learn 1.7.0 documentation
labels = None ) [source] # Compute Area Under the Receiver Operating...or 1.0 as AUC ROC partial computation currently is not supported...scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html