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Integrations - Elasticsearch Labs
or document store. RAG Development Frameworks...and preprocess unstructured documents for Retrieval Augmented Generation...www.elastic.co/search-labs/integrations -
root_mean_squared_log_error — scikit-learn 1.7....
Skip to main content Back to top Ctrl + K GitHub Choose version root_mean_squared_log_error # sklearn.metrics. root_m...scikit-learn.org/stable/modules/generated/sklearn.metrics.root_mean_squared_log_error.html -
What is Semantic Search? | A Comprehensive Sema...
document, or set of documents. A record-level...matches vectors of existing documents (a semantic search concerns...www.elastic.co/what-is/semantic-search -
5.1. Partial Dependence and Individual Conditio...
Partial dependence plots (PDP) and individual conditional expectation (ICE) plots can be used to visualize and analyze interaction between the target response 1 and a set of input features of inter...scikit-learn.org/stable/modules/partial_dependence.html -
Most relevant search engine for retrieval augme...
models effortlessly Secure document and role-based access to ensure...it retrieves top-scoring documents for context-aware response...www.elastic.co/enterprise-search/rag -
get_routing_for_object — scikit-learn 1.7.1 doc...
Gallery examples: Metadata Routingscikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.get_routing_for_object.html -
Poisson regression and non-normal loss — scikit...
This example illustrates the use of log-linear Poisson regression on the French Motor Third-Party Liability Claims dataset from 1 and compares it with a linear model fitted with the usual least squ...scikit-learn.org/stable/auto_examples/linear_model/plot_poisson_regression_non_normal_loss.html -
Lasso model selection via information criteria ...
This example reproduces the example of Fig. 2 of[ZHT2007]. A LassoLarsIC estimator is fit on a diabetes dataset and the AIC and the BIC criteria are used to select the best model. References ZHT200...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_lars_ic.html -
Recursive feature elimination with cross-valida...
A Recursive Feature Elimination (RFE) example with automatic tuning of the number of features selected with cross-validation. Data generation: We build a classification task using 3 informative fea...scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_with_cross_validation.html -
Varying regularization in Multi-layer Perceptro...
A comparison of different values for regularization parameter ‘alpha’ on synthetic datasets. The plot shows that different alphas yield different decision functions. Alpha is a parameter for regula...scikit-learn.org/stable/auto_examples/neural_networks/plot_mlp_alpha.html