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LLM Observability with Elastic’s Azure AI Found...
with pre-built, out-of-the-box dashboards. With real-time insights,...Retrieval-Augmented Generation (RAG), and data analysis, SREs and developers...www.elastic.co/observability-labs/blog/llm-observability-azure-ai-foundry -
sg_gallery.css
--sg-download-a-hover-box-shadow-1: rgba(255, 255, 255, 0.1); --...--sg-download-a-hover-box-shadow-2: rgba(0, 0, 0, 0.25); } @me...scikit-learn.org/stable/_static/sg_gallery.css -
cross_val_score — scikit-learn 1.7.2 documentation
instead. E.g.: cross_val_score(..., params={'groups': groups})...print ( cross_val_score ( lasso , X , y , cv = 3 )) [0.3315057...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_score.html -
Elastic Observability Labs
OpenTelemetry (EDOT) Now GA: Open-Source, Production-Ready OTel Elastic...language SDKs like Python, Java, .NET, and NodeJS. These help provide...www.elastic.co/observability-labs/blog/tag/apm -
RandomForestRegressor — scikit-learn 1.7.2 docu...
“absolute_error”, “friedman_mse”, “poisson”}, default=”squared_error” The...changed from 10 to 100 in 0.22. criterion {“squared_error”, “absolute_error”,...scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html -
Pipeline — scikit-learn 1.7.2 documentation
'scaler' , StandardScaler ()), ( 'svc' , SVC ())]) >>> # The...train_test_split ( X , y , ... random_state = 0 ) >>> pipe = Pipeline ([( 'scaler'...scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html -
cross_val_predict — scikit-learn 1.7.2 document...
instead. E.g.: cross_val_predict(..., params={'groups': groups})...‘2*n_jobs’ method {‘predict’, ‘predict_proba’, ‘predict_log_proba’,...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_predict.html -
AdaBoostRegressor — scikit-learn 1.7.2 document...
predict ([[ 0 , 0 , 0 , 0 ]]) array([4.7972]) >>> regr . score ( X ,...{‘linear’, ‘square’, ‘exponential’}, default=’linear’ The loss function...scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostRegressor.html -
load_diabetes — scikit-learn 1.7.2 documentation
load_diabetes () >>> diabetes . target [: 3 ] array([151., 75., 141.]) >>>...diabetes . data . shape (442, 10) Gallery examples # Model Complexity...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_diabetes.html -
MiniBatchKMeans — scikit-learn 1.7.2 documentation
generate. init {‘k-means++’, ‘random’}, callable or array-like of...= 'k-means++' , max_iter = 100 , batch_size = 1024 , verbose =...scikit-learn.org/stable/modules/generated/sklearn.cluster.MiniBatchKMeans.html