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cosine_similarity — scikit-learn 1.5.2 document...
Gallery examples: Plot classification boundaries with different SVM Kernelsscikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.cosine_similarity.html -
sigmoid_kernel — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub sigmoid_kernel # sklearn.metrics.pairwise. sigmoid_kernel ( X , Y = ...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.sigmoid_kernel.html -
fbeta_score — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub fbeta_score # sklearn.metrics. fbeta_score ( y_true , y_pred , * , b...scikit-learn.org/stable/modules/generated/sklearn.metrics.fbeta_score.html -
linear_kernel — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub linear_kernel # sklearn.metrics.pairwise. linear_kernel ( X , Y = No...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.linear_kernel.html -
sklearn.preprocessing — scikit-learn 1.5.2 docu...
Methods for scaling, centering, normalization, binarization, and more. User guide. See the Preprocessing data section for further details.scikit-learn.org/stable/api/sklearn.preprocessing.html -
2. Unsupervised learning — scikit-learn 1.5.2 d...
Gaussian mixture models- Gaussian Mixture, Variational Bayesian Gaussian Mixture., Manifold learning- Introduction, Isomap, Locally Linear Embedding, Modified Locally Linear Embedding, Hessian Eige...scikit-learn.org/stable/unsupervised_learning.html -
Demonstrating the different strategies of KBins...
This example presents the different strategies implemented in KBinsDiscretizer: ‘uniform’: The discretization is uniform in each feature, which means that the bin widths are constant in each dimens...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_strategies.html -
Theil-Sen Regression — scikit-learn 1.5.2 docum...
Computes a Theil-Sen Regression on a synthetic dataset. See Theil-Sen estimator: generalized-median-based estimator for more information on the regressor. Compared to the OLS (ordinary least square...scikit-learn.org/stable/auto_examples/linear_model/plot_theilsen.html -
Demo of OPTICS clustering algorithm — scikit-le...
Finds core samples of high density and expands clusters from them. This example uses data that is generated so that the clusters have different densities. The OPTICS is first used with its Xi clust...scikit-learn.org/stable/auto_examples/cluster/plot_optics.html -
Tweedie regression on insurance claims — scikit...
This example illustrates the use of Poisson, Gamma and Tweedie regression on the French Motor Third-Party Liability Claims dataset, and is inspired by an R tutorial 1. In this dataset, each sample ...scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html