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FunctionTransformer — scikit-learn 1.7.0 docume...
Gallery examples: Time-related feature engineering Column Transformer with Heterogeneous Data Sources Feature transformations with ensembles of trees Poisson regression and non-normal loss Tweedie ...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.FunctionTransformer.html -
GroupShuffleSplit — scikit-learn 1.7.0 document...
Gallery examples: Visualizing cross-validation behavior in scikit-learnscikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupShuffleSplit.html -
GroupKFold — scikit-learn 1.7.0 documentation
Gallery examples: Visualizing cross-validation behavior in scikit-learn Release Highlights for scikit-learn 1.4scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupKFold.html -
ShuffleSplit — scikit-learn 1.7.0 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 1.7.0 doc...
Gallery examples: Visualizing cross-validation behavior in scikit-learn RBF SVM parametersscikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedShuffleSplit.html -
RepeatedStratifiedKFold — scikit-learn 1.7.0 do...
Gallery examples: Statistical comparison of models using grid search Post-hoc tuning the cut-off point of decision function Overview of multiclass training meta-estimatorsscikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedStratifiedKFold.html -
GaussianProcessRegressor — scikit-learn 1.7.0 d...
Gallery examples: Comparison of kernel ridge and Gaussian process regression Forecasting of CO2 level on Mona Loa dataset using Gaussian process regression (GPR) Ability of Gaussian process regress...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessRegressor.html -
DotProduct — scikit-learn 1.7.0 documentation
Gallery examples: Iso-probability lines for Gaussian Processes classification (GPC) Illustration of Gaussian process classification (GPC) on the XOR dataset Illustration of prior and posterior Gaus...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.DotProduct.html -
SplineTransformer — scikit-learn 1.7.0 document...
Gallery examples: Time-related feature engineering Plot classification probability Visualizing the probabilistic predictions of a VotingClassifier Polynomial and Spline interpolation Evaluation of ...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.SplineTransformer.html -
Sum — scikit-learn 1.7.0 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version Sum # class sklearn.gaussian_process.kernels. Sum ( k...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Sum.html