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MultiLabelBinarizer — scikit-learn 1.5.2 docume...
storing classes_ . Parameters : y iterable...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MultiLabelBinarizer.html -
Google Rolls Out Call Screening AI To Thwart Ph...
information to other ( Score: 2 ) by writes: EOM ( Score: 1 ) by writes:...money. ( Score: 2 ) by writes: Yeah, right. ( Score: 2 ) by writes:...tech.slashdot.org/story/24/11/14/1650231/google-rolls-out-call-screening-ai-to-thwart-phone-fraud... -
Version 0.19 — scikit-learn 1.5.2 documentation
ndcg_score and metrics.dcg_score which had been merged...return_train_score to False if prediction or scoring functions are...scikit-learn.org/stable/whats_new/v0.19.html -
fetch_lfw_people — scikit-learn 1.5.2 documenta...
default all scikit-learn data is stored in ‘~/scikit_learn_data’ subfolders....scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_lfw_people.html -
Lasso on dense and sparse data — scikit-learn 1...
We then store the data matrix in both dense...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_dense_vs_sparse_data.html -
Elastic Site Search - Fast, Relevant Search for...
opportunities with 2M articles stored in Elastic and gives journalists...implement search. See more search stories Customer spotlight Learn how...www.elastic.co/enterprise-search/site-search -
Version 0.18 — scikit-learn 1.7.dev0 documentation
'split0_test_score' ), as well as their mean ( 'mean_test_score' ) and...cross-validation score) is available at cv_results_['rank_test_score'] . The...scikit-learn.org/dev/whats_new/v0.18.html -
What’s new in 8.15 | Elasticsearch Guide [8.15]...
which omits storing the _source field. When _source...hamming distance), and the scores are transformed and normalized...www.elastic.co/guide/en/elasticsearch/reference/current/release-highlights.html -
GaussianProcessRegressor — scikit-learn 1.5.2 d...
Notes The \(R^2\) score used when calling score on a regressor uses...default value of r2_score . This influences the score method of all...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessRegressor.html -
TargetEncoder — scikit-learn 1.5.2 documentation
The used categories are stored in the categories_ fitted attribute....for feature i and class j is stored in encodings_[j + (i * len(classes_))]...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.TargetEncoder.html