- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 1071 - 1080 of 1,549 for document (0.65 sec)
-
Cross-cluster search | Elastic Docs
the document came from the local cluster. This document came...identified as "(local)". This document’s _index parameter doesn’t...www.elastic.co/docs/solutions/search/cross-cluster-search -
Elasticsearch | Elastic Docs
document-level security, role mapping...www.elastic.co/docs/solutions/search -
check_memory — scikit-learn 1.7.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version check_memory # sklearn.utils.validation. check_memory...scikit-learn.org/stable/modules/generated/sklearn.utils.validation.check_memory.html -
check_scalar — scikit-learn 1.7.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version check_scalar # sklearn.utils. check_scalar ( x , name...scikit-learn.org/stable/modules/generated/sklearn.utils.check_scalar.html -
weighted_mode — scikit-learn 1.7.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version weighted_mode # sklearn.utils.extmath. weighted_mode ...scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.weighted_mode.html -
Kernel Density Estimation — scikit-learn 1.7.1 ...
This example shows how kernel density estimation (KDE), a powerful non-parametric density estimation technique, can be used to learn a generative model for a dataset. With this generative model in ...scikit-learn.org/stable/auto_examples/neighbors/plot_digits_kde_sampling.html -
SVM with custom kernel — scikit-learn 1.7.1 doc...
Simple usage of Support Vector Machines to classify a sample. It will plot the decision surface and the support vectors. Total running time of the script:(0 minutes 0.090 seconds) Launch binder Lau...scikit-learn.org/stable/auto_examples/svm/plot_custom_kernel.html -
GMM Initialization Methods — scikit-learn 1.7.1...
Examples of the different methods of initialization in Gaussian Mixture Models See Gaussian mixture models for more information on the estimator. Here we generate some sample data with four easy to...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_init.html -
Support Vector Machines — scikit-learn 1.7.1 do...
Examples concerning the sklearn.svm module. One-class SVM with non-linear kernel (RBF) Plot classification boundaries with different SVM Kernels Plot different SVM classifiers in the iris dataset P...scikit-learn.org/stable/auto_examples/svm/index.html -
Univariate Feature Selection — scikit-learn 1.7...
This notebook is an example of using univariate feature selection to improve classification accuracy on a noisy dataset. In this example, some noisy (non informative) features are added to the iris...scikit-learn.org/stable/auto_examples/feature_selection/plot_feature_selection.html