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Lasso model selection: AIC-BIC / cross-validati...
This example focuses on model selection for Lasso models that are linear models with an L1 penalty for regression problems. Indeed, several strategies can be used to select the value of the regular...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_model_selection.html -
3.5. Validation curves: plotting scores to eval...
Every estimator has its advantages and drawbacks. Its generalization error can be decomposed in terms of bias, variance and noise. The bias of an estimator is its average error for different traini...scikit-learn.org/stable/modules/learning_curve.html -
Customer support search for knowledge bases & h...
and process documentation to provide precise question...recommendations, while maintaining document-level security and keeping...www.elastic.co/enterprise-search/customer-support -
Elastic and Opster join forces to help users ta...
functionality described in this document remain at Elastic's sole discretion....www.elastic.co/blog/elastic-opster-join-forces -
Integrations - Elasticsearch Labs
Making sense of unstructured documents: Using Reducto parsing with...Demonstrating how Reducto's document processing can be integrated...www.elastic.co/search-labs/blog/category/integrations -
Demonstration of multi-metric evaluation on cro...
Multiple metric parameter search can be done by setting the scoring parameter to a list of metric scorer names or a dict mapping the scorer names to the scorer callables. The scores of all the scor...scikit-learn.org/stable/auto_examples/model_selection/plot_multi_metric_evaluation.html -
Manifold learning on handwritten digits: Locall...
We illustrate various embedding techniques on the digits dataset. Load digits dataset: We will load the digits dataset and only use six first of the ten available classes. We can plot the first hun...scikit-learn.org/stable/auto_examples/manifold/plot_lle_digits.html -
One-class SVM with non-linear kernel (RBF) — sc...
An example using a one-class SVM for novelty detection. One-class SVM is an unsupervised algorithm that learns a decision function for novelty detection: classifying new data as similar or differen...scikit-learn.org/stable/auto_examples/svm/plot_oneclass.html -
support.rst.txt
this document. .. _documentation_resources: Documentation Resources...========== This documentation is for |release|. Documentation for other...scikit-learn.org/stable/_sources/support.rst.txt -
Cisco Transforms Enterprise Search with AI and ...
content from millions of documents that helps resolve the more...of files of web pages and documents, including data sheets and...www.elastic.co/customers/cisco