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Configuring encryption keys | App Search docume...
encryption keys IMPORTANT : This documentation is no longer updated. Refer...version policy and the latest documentation . Configuring encryption...www.elastic.co/guide/en/app-search/8.19/encryption-keys.html -
8.14.0 release notes | Enterprise Search docume...
notes IMPORTANT : This documentation is no longer updated. Refer...version policy and the latest documentation . 8.14.0 release notes Upgrading...www.elastic.co/guide/en/enterprise-search/8.19/release-notes-8.14.0.html -
3.2. Tuning the hyper-parameters of an estimato...
coupling parameters from a text documents feature extractor (n-gram...scikit-learn.org/stable/modules/grid_search.html -
8.10.3 release notes | Enterprise Search docume...
notes IMPORTANT : This documentation is no longer updated. Refer...version policy and the latest documentation . 8.10.3 release notes Upgrading...www.elastic.co/guide/en/enterprise-search/8.19/release-notes-8.10.3.html -
Advanced Plotting With Partial Dependence ̵...
Documentation for Pipeline i Fitted Parameters...False StandardScaler ? Documentation for StandardScaler Parameters...scikit-learn.org/stable/auto_examples/miscellaneous/plot_partial_dependence_visualization_api.html -
7. Dataset transformations — scikit-learn...
scikit-learn provides a library of transformers, which may clean (see Preprocessing data), reduce (see Unsupervised dimensionality reduction), expand (see Kernel Approximation) or generate (see Fea...scikit-learn.org/stable/data_transforms.html -
Compare BIRCH and MiniBatchKMeans — sciki...
This example compares the timing of BIRCH (with and without the global clustering step) and MiniBatchKMeans on a synthetic dataset having 25,000 samples and 2 features generated using make_blobs. B...scikit-learn.org/stable/auto_examples/cluster/plot_birch_vs_minibatchkmeans.html -
Probability Calibration curves — scikit-l...
When performing classification one often wants to predict not only the class label, but also the associated probability. This probability gives some kind of confidence on the prediction. This examp...scikit-learn.org/stable/auto_examples/calibration/plot_calibration_curve.html -
Gradient Boosting regularization — scikit...
Illustration of the effect of different regularization strategies for Gradient Boosting. The example is taken from Hastie et al 2009 1. The loss function used is binomial deviance. Regularization v...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regularization.html -
Model Complexity Influence — scikit-learn...
Demonstrate how model complexity influences both prediction accuracy and computational performance. We will be using two datasets:,- Diabetes dataset for regression. This dataset consists of 10 mea...scikit-learn.org/stable/auto_examples/applications/plot_model_complexity_influence.html