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LlamaIndex and Elasticsearch Rerankers: Unbeata...
to push the most relevant documents to the top of the results...after retrieving a set of documents that are relevant to the user...www.elastic.co/search-labs/blog/elasticsearch-reranker-llamaindex-rankgpt -
Elastic Generative AI Tools and Capabilities | ...
document level security, on-prem or...removes private information with document-level control. Relevant Reduce...www.elastic.co/generative-ai -
incr_mean_variance_axis — scikit-learn 1.7.1 do...
Skip to main content Back to top Ctrl + K GitHub Choose version incr_mean_variance_axis # sklearn.utils.sparsefuncs. ...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.incr_mean_variance_axis.html -
Hashing feature transformation using Totally Ra...
RandomTreesEmbedding provides a way to map data to a very high-dimensional, sparse representation, which might be beneficial for classification. The mapping is completely unsupervised and very effi...scikit-learn.org/stable/auto_examples/ensemble/plot_random_forest_embedding.html -
Comparing randomized search and grid search for...
Compare randomized search and grid search for optimizing hyperparameters of a linear SVM with SGD training. All parameters that influence the learning are searched simultaneously (except for the nu...scikit-learn.org/stable/auto_examples/model_selection/plot_randomized_search.html -
Plot multi-class SGD on the iris dataset — scik...
Plot decision surface of multi-class SGD on iris dataset. The hyperplanes corresponding to the three one-versus-all (OVA) classifiers are represented by the dashed lines. Total running time of the ...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_iris.html -
reconstruct_from_patches_2d — scikit-learn 1.7....
Gallery examples: Image denoising using dictionary learningscikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.reconstruct_from_patch... -
2.7. Novelty and Outlier Detection — scikit-lea...
Many applications require being able to decide whether a new observation belongs to the same distribution as existing observations (it is an inlier), or should be considered as different (it is an ...scikit-learn.org/stable/modules/outlier_detection.html -
A demo of structured Ward hierarchical clusteri...
Compute the segmentation of a 2D image with Ward hierarchical clustering. The clustering is spatially constrained in order for each segmented region to be in one piece. Generate data: Resize it to ...scikit-learn.org/stable/auto_examples/cluster/plot_coin_ward_segmentation.html -
normalized_mutual_info_score — scikit-learn 1.7...
Gallery examples: Adjustment for chance in clustering performance evaluationscikit-learn.org/stable/modules/generated/sklearn.metrics.normalized_mutual_info_score.html