- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 591 - 600 of 1,555 for document (0.4 sec)
-
paired_manhattan_distances — scikit-learn 1.7.1...
Skip to main content Back to top Ctrl + K GitHub Choose version paired_manhattan_distances # sklearn.metrics.pairwise...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.paired_manhattan_distances.html -
paired_euclidean_distances — scikit-learn 1.7.1...
Skip to main content Back to top Ctrl + K GitHub Choose version paired_euclidean_distances # sklearn.metrics.pairwise...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.paired_euclidean_distances.html -
gen_even_slices — scikit-learn 1.7.1 documentation
Gallery examples: Poisson regression and non-normal lossscikit-learn.org/stable/modules/generated/sklearn.utils.gen_even_slices.html -
1.5. Stochastic Gradient Descent — scikit-learn...
Examples Classification of text documents using sparse features 1.5.5....scikit-learn.org/stable/modules/sgd.html -
Feature agglomeration vs. univariate selection ...
This example compares 2 dimensionality reduction strategies: univariate feature selection with Anova, feature agglomeration with Ward hierarchical clustering. Both methods are compared in a regress...scikit-learn.org/stable/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection.... -
Comparison of kernel ridge and Gaussian process...
This example illustrates differences between a kernel ridge regression and a Gaussian process regression. Both kernel ridge regression and Gaussian process regression are using a so-called “kernel ...scikit-learn.org/stable/auto_examples/gaussian_process/plot_compare_gpr_krr.html -
Regularization path of L1- Logistic Regression ...
Train l1-penalized logistic regression models on a binary classification problem derived from the Iris dataset. The models are ordered from strongest regularized to least regularized. The 4 coeffic...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_path.html -
7.8. Pairwise metrics, Affinities and Kernels —...
computing the similarity of documents represented as tf-idf vectors....-ouvertes.fr/hal-00171412/document On this page This Page...scikit-learn.org/stable/modules/metrics.html -
TargetTags — scikit-learn 1.7.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version TargetTags # class sklearn.utils. TargetTags ( requir...scikit-learn.org/stable/modules/generated/sklearn.utils.TargetTags.html -
SparseRandomProjection — scikit-learn 1.7.1 doc...
Gallery examples: Manifold learning on handwritten digits: Locally Linear Embedding, Isomap… The Johnson-Lindenstrauss bound for embedding with random projectionsscikit-learn.org/stable/modules/generated/sklearn.random_projection.SparseRandomProjection.html