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johnson_lindenstrauss_min_dim — scikit-learn 1....
Gallery examples: The Johnson-Lindenstrauss bound for embedding with random projectionsscikit-learn.org/stable/modules/generated/sklearn.random_projection.johnson_lindenstrauss_min_dim... -
Linklaters Delivers Faster, Better Enterprise S...
search and retrieve legal documents and other knowledge assets...sources including the firm's document management system, intranet,...www.elastic.co/customers/linklaters -
Probabilistic predictions with Gaussian process...
This example illustrates the predicted probability of GPC for an RBF kernel with different choices of the hyperparameters. The first figure shows the predicted probability of GPC with arbitrarily c...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc.html -
Nested versus non-nested cross-validation — sci...
This example compares non-nested and nested cross-validation strategies on a classifier of the iris data set. Nested cross-validation (CV) is often used to train a model in which hyperparameters al...scikit-learn.org/stable/auto_examples/model_selection/plot_nested_cross_validation_iris.html -
Outlier detection with Local Outlier Factor (LO...
The Local Outlier Factor (LOF) algorithm is an unsupervised anomaly detection method which computes the local density deviation of a given data point with respect to its neighbors. It considers as ...scikit-learn.org/stable/auto_examples/neighbors/plot_lof_outlier_detection.html -
Get started with generative AI free | Elastic
comprehensive documentation, plus support to help you...proprietary data (while using document-level protection to control...www.elastic.co/cloud/generative-ai-trial-overview -
Demonstration of multi-metric evaluation on cro...
Multiple metric parameter search can be done by setting the scoring parameter to a list of metric scorer names or a dict mapping the scorer names to the scorer callables. The scores of all the scor...scikit-learn.org/stable/auto_examples/model_selection/plot_multi_metric_evaluation.html -
One-class SVM with non-linear kernel (RBF) — sc...
An example using a one-class SVM for novelty detection. One-class SVM is an unsupervised algorithm that learns a decision function for novelty detection: classifying new data as similar or differen...scikit-learn.org/stable/auto_examples/svm/plot_oneclass.html -
Manifold learning on handwritten digits: Locall...
We illustrate various embedding techniques on the digits dataset. Load digits dataset: We will load the digits dataset and only use six first of the ten available classes. We can plot the first hun...scikit-learn.org/stable/auto_examples/manifold/plot_lle_digits.html -
Principal Component Regression vs Partial Least...
This example compares Principal Component Regression(PCR) and Partial Least Squares Regression(PLS) on a toy dataset. Our goal is to illustrate how PLS can outperform PCR when the target is strongl...scikit-learn.org/stable/auto_examples/cross_decomposition/plot_pcr_vs_pls.html