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Target Encoder’s Internal Cross fitting — sciki...
The TargetEncoder replaces each category of a categorical feature with the shrunk mean of the target variable for that category. This method is useful in cases where there is a strong relationship ...scikit-learn.org/stable/auto_examples/preprocessing/plot_target_encoder_cross_val.html -
Gradient Boosting Out-of-Bag estimates — scikit...
Out-of-bag (OOB) estimates can be a useful heuristic to estimate the “optimal” number of boosting iterations. OOB estimates are almost identical to cross-validation estimates but they can be comput...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_oob.html -
Illustration of prior and posterior Gaussian pr...
This example illustrates the prior and posterior of a GaussianProcessRegressor with different kernels. Mean, standard deviation, and 5 samples are shown for both prior and posterior distributions. ...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_prior_posterior.html -
Multiclass Receiver Operating Characteristic (R...
This example describes the use of the Receiver Operating Characteristic (ROC) metric to evaluate the quality of multiclass classifiers. ROC curves typically feature true positive rate (TPR) on the ...scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html -
Crafting a minimal reproducer for scikit-learn ...
such as this StackOverflow document or this blogpost by Matthew...scikit-learn.org/stable/developers/minimal_reproducer.html -
13. External Resources, Videos and Talks — scik...
New to Scientific Python?: For those that are still new to the scientific Python ecosystem, we highly recommend the Python Scientific Lecture Notes. This will help you find your footing a bit and w...scikit-learn.org/stable/presentations.html -
scikit-learn: machine learning in Python — scik...
Skip to main content Back to top Ctrl + K scikit-learn Machine Learning in Python Getting Started Release Highlights ...scikit-learn.org/stable/index.html -
make_sparse_spd_matrix — scikit-learn 1.6.1 doc...
Gallery examples: Sparse inverse covariance estimationscikit-learn.org/stable/modules/generated/sklearn.datasets.make_sparse_spd_matrix.html -
enable_halving_search_cv — scikit-learn 1.6.1 d...
Enables Successive Halving search-estimators The API and results of these estimators might change without any deprecation cycle. Importing this file dynamically sets the HalvingRandomSearchCV and H...scikit-learn.org/stable/modules/generated/sklearn.experimental.enable_halving_search_cv.html -
johnson_lindenstrauss_min_dim — scikit-learn 1....
Gallery examples: The Johnson-Lindenstrauss bound for embedding with random projectionsscikit-learn.org/stable/modules/generated/sklearn.random_projection.johnson_lindenstrauss_min_dim...