- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 321 - 330 of 1,745 for document (2.14 sec)
-
ComplementNB — scikit-learn 1.7.2 documentation
evaluation Classification of text documents using sparse features Classification...Classification of text documents using sparse features On this page...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.ComplementNB.html -
trustworthiness — scikit-learn 1.7.2 documentation
see the documentation of argument metric in s...scikit-learn.org/stable/modules/generated/sklearn.manifold.trustworthiness.html -
Query Suggestions Guide | App Search documentat...
Guide IMPORTANT : This documentation is no longer updated. Refer...version policy and the latest documentation . Query Suggestions Guide...www.elastic.co/guide/en/app-search/current/query-suggestions-guide.html -
Result Suggestions Guide | App Search documenta...
tied to actual documents: { "results": { "documents": [ { "suggestion":...Guide IMPORTANT : This documentation is no longer updated. Refer...www.elastic.co/guide/en/app-search/current/result-suggestions-guide.html -
SVM Tie Breaking Example — scikit-learn 1.7.2 d...
Tie breaking is costly if decision_function_shape='ovr', and therefore it is not enabled by default. This example illustrates the effect of the break_ties parameter for a multiclass classification ...scikit-learn.org/stable/auto_examples/svm/plot_svm_tie_breaking.html -
A demo of the Spectral Biclustering algorithm —...
This example demonstrates how to generate a checkerboard dataset and bicluster it using the SpectralBiclustering algorithm. The spectral biclustering algorithm is specifically designed to cluster d...scikit-learn.org/stable/auto_examples/bicluster/plot_spectral_biclustering.html -
Agglomerative clustering with different metrics...
Demonstrates the effect of different metrics on the hierarchical clustering. The example is engineered to show the effect of the choice of different metrics. It is applied to waveforms, which can b...scikit-learn.org/stable/auto_examples/cluster/plot_agglomerative_clustering_metrics.html -
Early stopping in Gradient Boosting — scikit-le...
Gradient Boosting is an ensemble technique that combines multiple weak learners, typically decision trees, to create a robust and powerful predictive model. It does so in an iterative fashion, wher...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_early_stopping.html -
SGD: Weighted samples — scikit-learn 1.7.2 docu...
Plot decision function of a weighted dataset, where the size of points is proportional to its weight. Total running time of the script:(0 minutes 0.069 seconds) Launch binder Launch JupyterLite Dow...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_weighted_samples.html -
Sparse inverse covariance estimation — scikit-l...
Using the GraphicalLasso estimator to learn a covariance and sparse precision from a small number of samples. To estimate a probabilistic model (e.g. a Gaussian model), estimating the precision mat...scikit-learn.org/stable/auto_examples/covariance/plot_sparse_cov.html