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ShuffleSplit — scikit-learn 1.7.1 documentation
Gallery examples: Visualizing cross-validation behavior in scikit-learn Balance model complexity and cross-validated score Plotting Learning Curves and Checking Models’ Scalability Scaling the regu...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html -
StratifiedShuffleSplit — scikit-learn 1.7.1 doc...
Gallery examples: Visualizing cross-validation behavior in scikit-learn RBF SVM parametersscikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedShuffleSplit.html -
GroupShuffleSplit — scikit-learn 1.7.1 document...
Gallery examples: Visualizing cross-validation behavior in scikit-learnscikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupShuffleSplit.html -
inplace_csr_row_normalize_l1 — scikit-learn 1.7...
Skip to main content Back to top Ctrl + K GitHub Choose version inplace_csr_row_normalize_l1 # sklearn.utils.sparsefu...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs_fast.inplace_csr_row_normaliz... -
t-SNE: The effect of various perplexity values ...
An illustration of t-SNE on the two concentric circles and the S-curve datasets for different perplexity values. We observe a tendency towards clearer shapes as the perplexity value increases. The ...scikit-learn.org/stable/auto_examples/manifold/plot_t_sne_perplexity.html -
Illustration of Gaussian process classification...
This example illustrates GPC on XOR data. Compared are a stationary, isotropic kernel (RBF) and a non-stationary kernel (DotProduct). On this particular dataset, the DotProduct kernel obtains consi...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_xor.html -
Model selection with Probabilistic PCA and Fact...
Probabilistic PCA and Factor Analysis are probabilistic models. The consequence is that the likelihood of new data can be used for model selection and covariance estimation. Here we compare PCA and...scikit-learn.org/stable/auto_examples/decomposition/plot_pca_vs_fa_model_selection.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 -
is_outlier_detector — scikit-learn 1.7.1 docume...
Skip to main content Back to top Ctrl + K GitHub Choose version is_outlier_detector # sklearn.base. is_outlier_detect...scikit-learn.org/stable/modules/generated/sklearn.base.is_outlier_detector.html -
Robust linear estimator fitting — scikit-learn ...
Here a sine function is fit with a polynomial of order 3, for values close to zero. Robust fitting is demonstrated in different situations: No measurement errors, only modelling errors (fitting a s...scikit-learn.org/stable/auto_examples/linear_model/plot_robust_fit.html