- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 1121 - 1130 of 1,699 for document (0.09 sec)
-
Target Encoder’s Internal Cross fitting — sciki...
The TargetEncoder replaces each category of a categorical feature with the shrunk mean of the target variable for that category. This method is useful in cases where there is a strong relationship ...scikit-learn.org/stable/auto_examples/preprocessing/plot_target_encoder_cross_val.html -
Joint feature selection with multi-task Lasso —...
The multi-task lasso allows to fit multiple regression problems jointly enforcing the selected features to be the same across tasks. This example simulates sequential measurements, each task is a t...scikit-learn.org/stable/auto_examples/linear_model/plot_multi_task_lasso_support.html -
Illustration of prior and posterior Gaussian pr...
This example illustrates the prior and posterior of a GaussianProcessRegressor with different kernels. Mean, standard deviation, and 5 samples are shown for both prior and posterior distributions. ...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_prior_posterior.html -
Multiclass Receiver Operating Characteristic (R...
This example describes the use of the Receiver Operating Characteristic (ROC) metric to evaluate the quality of multiclass classifiers. ROC curves typically feature true positive rate (TPR) on the ...scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html -
Gradient Boosting Out-of-Bag estimates — scikit...
Out-of-bag (OOB) estimates can be a useful heuristic to estimate the “optimal” number of boosting iterations. OOB estimates are almost identical to cross-validation estimates but they can be comput...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_oob.html -
1.4. Support Vector Machines — scikit-learn 1.7...
Support vector machines (SVMs) are a set of supervised learning methods used for classification, regression and outliers detection. The advantages of support vector machines are: Effective in high ...scikit-learn.org/stable/modules/svm.html -
mean_absolute_percentage_error — scikit-learn 1...
Gallery examples: Lagged features for time series forecastingscikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_percentage_error.html -
d2_log_loss_score — scikit-learn 1.7.0 document...
Skip to main content Back to top Ctrl + K GitHub Choose version d2_log_loss_score # sklearn.metrics. d2_log_loss_scor...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_log_loss_score.html -
Elastic site search — Fast, relevant search for...
while maintaining document-level security and keeping...Elastic to search millions of documents on its subscription platform...www.elastic.co/enterprise-search/site-search -
IBM partners with Elasticsearch to deliver Conv...
to combine proprietary documentation with large language models...filtering, aggregations, and document-level security. Developers...www.elastic.co/blog/ibm-elasticsearch-partnership-conversational-search-watsonx-assistant