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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 -
Reed deploys Elasticsearch to enable superior c...
role-based access controls at the document level. If a job listing includes...www.elastic.co/customers/reed -
Elastic Cloud Hosted pricing | Elastic
Elasticsearch datastore with flexible document format for unstructured and...www.elastic.co/pricing/cloud-hosted -
Elastic Observability Labs
what a time series metric document is and the mapping used for...www.elastic.co/observability-labs/blog/tag/metrics -
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 -
Elastic introduces Elastic AI Assistant | Elast...
This prompt provides an alert document as context and returns a detailed...the power of AI, read our documentation . The release and timing...www.elastic.co/blog/introducing-elastic-ai-assistant -
3.1. Cross-validation: evaluating estimator per...
Learning the parameters of a prediction function and testing it on the same data is a methodological mistake: a model that would just repeat the labels of the samples that it has just seen would ha...scikit-learn.org/stable/modules/cross_validation.html -
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