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Open source full text search server – roadmap
ARCHIVES Support Open source full text search server – roadmap This...fess.codelibs.org/roadmap.html -
In Fess make Apache Solr based search server-ed...
using the REST API is now Fess . In the REST API, Fess to...possible as the REST API. Can also use the REST API should build...fess.codelibs.org/articles/article-4.html -
cross_validation.rst.txt
available data as a **test set** ``X_test, y_test``. Note that the...>>> X_train, X_test, y_train, y_test = train_test_split( ... X,...scikit-learn.org/stable/_sources/modules/cross_validation.rst.txt -
Behind the scenes of Elastic Security’s generat...
go through the test scenarios and curated test dataset , as well...with LangSmith. Test scenarios and curated test datasets Since...www.elastic.co/blog/elastic-security-generative-ai-features -
ValidationCurveDisplay — scikit-learn 1.7.2 doc...
test_scores = test_scores , score_name =...param_range , train_scores , test_scores , score_name = None )...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ValidationCurveDisplay.html -
plot_multi_metric_evaluation.zip
1)[0][0] best_score = results["mean_test_%s" % scorer][best_index]...1)[0][0]\n best_score = results[\"mean_test_%s\" % scorer][best_index]\n\n...scikit-learn.org/stable/_downloads/535778bfbc9b4881da3e662bc2ea8484/plot_multi_metric_evaluation.zip -
Model Selection — scikit-learn 1.7.2 documentation
(ROC) Nested versus non-nested cross-validation Nested versus...regularization on training and test error Effect of model regularization...scikit-learn.org/stable/auto_examples/model_selection/index.html -
TimeSeriesSplit — scikit-learn 1.7.2 documentation
test_size=None) >>> for i , ( train_index , test_index..." ) ... print ( f " Test: index= { test_index } " ) Fold 0: Train:...scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html -
ShuffleSplit — scikit-learn 1.7.2 documentation
print ( f " Test: index= { test_index } " ) Fold 0: Train:...4] Test: index=[5 2] Fold 1: Train: index=[4 0 2 5] Test: index=[1...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html -
getting_started.rst.txt
X_test, y_train, y_test = train_test_split(X, y, random_state=0)...>>> X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0)...scikit-learn.org/stable/_sources/getting_started.rst.txt