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sklearn.kernel_approximation — scikit-learn 1.7...
Approximate kernel feature maps based on Fourier transforms and count sketches. User guide. See the Kernel Approximation section for further details.scikit-learn.org/stable/api/sklearn.kernel_approximation.html -
fetch_california_housing — scikit-learn 1.7.2 d...
Gallery examples: Comparing Random Forests and Histogram Gradient Boosting models Early stopping in Gradient Boosting Imputing missing values with variants of IterativeImputer Imputing missing valu...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_california_housing.html -
load_sample_image — scikit-learn 1.7.2 document...
Skip to main content Back to top Ctrl + K GitHub Choose version load_sample_image # sklearn.datasets. load_sample_ima...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_sample_image.html -
fetch_species_distributions — scikit-learn 1.7....
Gallery examples: Species distribution modeling Kernel Density Estimate of Species Distributionsscikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_species_distributions.html -
has_fit_parameter — scikit-learn 1.7.2 document...
Skip to main content Back to top Ctrl + K GitHub Choose version has_fit_parameter # sklearn.utils.validation. has_fit...scikit-learn.org/stable/modules/generated/sklearn.utils.validation.has_fit_parameter.html -
estimator_html_repr — scikit-learn 1.7.2 docume...
Skip to main content Back to top Ctrl + K GitHub Choose version estimator_html_repr # sklearn.utils. estimator_html_r...scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_html_repr.html -
balanced_accuracy_score — scikit-learn 1.7.2 do...
Skip to main content Back to top Ctrl + K GitHub Choose version balanced_accuracy_score # sklearn.metrics. balanced_a...scikit-learn.org/stable/modules/generated/sklearn.metrics.balanced_accuracy_score.html -
mean_poisson_deviance — scikit-learn 1.7.2 docu...
Gallery examples: Poisson regression and non-normal lossscikit-learn.org/stable/modules/generated/sklearn.metrics.mean_poisson_deviance.html -
SGD: convex loss functions — scikit-learn 1.7.2...
A plot that compares the various convex loss functions supported by SGDClassifier. Total running time of the script:(0 minutes 0.094 seconds) Launch binder Launch JupyterLite Download Jupyter noteb...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_loss_functions.html -
8. Dataset loading utilities — scikit-learn 1.7...
The sklearn.datasets package embeds some small toy datasets and provides helpers to fetch larger datasets commonly used by the machine learning community to benchmark algorithms on data that comes ...scikit-learn.org/stable/datasets.html