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3.3. Tuning the decision threshold for class pr...
Classification is best divided into two parts: the statistical problem of learning a model to predict, ideally, class probabilities;, the decision problem to take concrete action based on those pro...scikit-learn.org/stable/modules/classification_threshold.html -
Data ingestion tools — Crawler, connectors & AP...
Secure proper access with document-level permissions to ensure...right content. Learn about document level security Try it now...www.elastic.co/enterprise-search/data-ingestion -
Failure store: see what didn’t make it - Elasti...
capturing and indexing failed documents into dedicated `::failures`...failure store enabled. A failing document response After enabling the...www.elastic.co/search-labs/blog/elastic-failure-store -
Universal workplace search — Search all your to...
documents, and generative AI output...right users. Search template Document level security POST _appl...www.elastic.co/enterprise-search/workplace-search -
decomposition.rst.txt
collection of :math:`D` documents. * A document is a sequence of :math:`N`...solver: `scipy.linalg.eigh documentation <https://docs.scipy.org...scikit-learn.org/stable/_sources/modules/decomposition.rst.txt -
LogsDB and TSDS performance and storage improve...
Improve storage efficiency for documents with arrays (like a list of...on the number of fields per document; in our internal benchmarks...www.elastic.co/search-labs/blog/elastic-logsdb-tsds-enhancements -
Decision Boundaries of Multinomial and One-vs-R...
This example compares decision boundaries of multinomial and one-vs-rest logistic regression on a 2D dataset with three classes. We make a comparison of the decision boundaries of both methods that...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_multinomial.html -
Decision boundary of semi-supervised classifier...
A comparison for the decision boundaries generated on the iris dataset by Label Spreading, Self-training and SVM. This example demonstrates that Label Spreading and Self-training can learn good bou...scikit-learn.org/stable/auto_examples/semi_supervised/plot_semi_supervised_versus_svm_iris.html -
2.9. Neural network models (unsupervised) — sci...
Restricted Boltzmann machines: Restricted Boltzmann machines (RBM) are unsupervised nonlinear feature learners based on a probabilistic model. The features extracted by an RBM or a hierarchy of RBM...scikit-learn.org/stable/modules/neural_networks_unsupervised.html -
AIOps Labs | Elastic Docs
each category and an example document that matches the category....the first 10,000, sorted by document count, are analyzed. You can...www.elastic.co/docs/explore-analyze/machine-learning/machine-learning-in-kibana/xpack-ml-aiops