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Plotting Cross-Validated Predictions — scikit-l...
This example shows how to use cross_val_predict together with PredictionErrorDisplay to visualize prediction errors. We will load the diabetes dataset and create an instance of a linear regression ...scikit-learn.org/stable/auto_examples/model_selection/plot_cv_predict.html -
Ordinary Least Squares and Ridge Regression — s...
Ordinary Least Squares: We illustrate how to use the ordinary least squares (OLS) model, LinearRegression, on a single feature of the diabetes dataset. We train on a subset of the data, evaluate on...scikit-learn.org/stable/auto_examples/linear_model/plot_ols_ridge.html -
Gaussian processes on discrete data structures ...
This example illustrates the use of Gaussian processes for regression and classification tasks on data that are not in fixed-length feature vector form. This is achieved through the use of kernel f...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_on_structured_data.html -
Curve Fitting with Bayesian Ridge Regression — ...
Computes a Bayesian Ridge Regression of Sinusoids. See Bayesian Ridge Regression for more information on the regressor. In general, when fitting a curve with a polynomial by Bayesian ridge regressi...scikit-learn.org/stable/auto_examples/linear_model/plot_bayesian_ridge_curvefit.html -
Ridge coefficients as a function of the L2 Regu...
A model that overfits learns the training data too well, capturing both the underlying patterns and the noise in the data. However, when applied to unseen data, the learned associations may not hol...scikit-learn.org/stable/auto_examples/linear_model/plot_ridge_coeffs.html -
SGD: convex loss functions — scikit-learn 1.7.0...
A plot that compares the various convex loss functions supported by SGDClassifier. Total running time of the script:(0 minutes 0.092 seconds) Launch binder Launch JupyterLite Download Jupyter noteb...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_loss_functions.html -
zero_one_loss — scikit-learn 1.7.0 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version zero_one_loss # sklearn.metrics. zero_one_loss ( y_tr...scikit-learn.org/stable/modules/generated/sklearn.metrics.zero_one_loss.html -
fetch_olivetti_faces — scikit-learn 1.7.0 docum...
Gallery examples: Online learning of a dictionary of parts of faces Faces dataset decompositions Face completion with a multi-output estimatorsscikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_olivetti_faces.html -
sklearn.kernel_ridge — scikit-learn 1.7.0 docum...
Kernel ridge regression. User guide. See the Kernel ridge regression section for further details.scikit-learn.org/stable/api/sklearn.kernel_ridge.html -
mean_poisson_deviance — scikit-learn 1.7.0 docu...
Gallery examples: Poisson regression and non-normal lossscikit-learn.org/stable/modules/generated/sklearn.metrics.mean_poisson_deviance.html