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12. Dispatching — scikit-learn 1.8.0 docu...
Array API support (experimental)- Enabling array API support, Example usage, Support for Array API-compatible inputs, Input and output array type handling, Common estimator checks..scikit-learn.org/stable/dispatching.html -
Getting Started — scikit-learn 1.8.0 docu...
Scikit-learn is an open source machine learning library that supports supervised and unsupervised learning. It also provides various tools for model fitting, data preprocessing, model selection, mo...scikit-learn.org/stable/getting_started.html -
sklearn.metrics — scikit-learn 1.8.0 docu...
Score functions, performance metrics, pairwise metrics and distance computations. User guide. See the Metrics and scoring: quantifying the quality of predictions and Pairwise metrics, Affinities an...scikit-learn.org/stable/api/sklearn.metrics.html -
sklearn.model_selection — scikit-learn 1....
Tools for model selection, such as cross validation and hyper-parameter tuning. User guide. See the Cross-validation: evaluating estimator performance, Tuning the hyper-parameters of an estimator, ...scikit-learn.org/stable/api/sklearn.model_selection.html -
sklearn.preprocessing — scikit-learn 1.8....
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 -
sklearn.neural_network — scikit-learn 1.8...
Models based on neural networks. User guide. See the Neural network models (supervised) and Neural network models (unsupervised) sections for further details.scikit-learn.org/stable/api/sklearn.neural_network.html -
Inductive Clustering — scikit-learn 1.8.0...
Clustering can be expensive, especially when our dataset contains millions of datapoints. Many clustering algorithms are not inductive and so cannot be directly applied to new data samples without ...scikit-learn.org/stable/auto_examples/cluster/plot_inductive_clustering.html -
Release Highlights — scikit-learn 1.8.0 d...
These examples illustrate the main features of the releases of scikit-learn. Release Highlights for scikit-learn 1.8 Release Highlights for scikit-learn 1.7 Release Highlights for scikit-learn 1.6 ...scikit-learn.org/stable/auto_examples/release_highlights/index.html -
Cross decomposition — scikit-learn 1.8.0 ...
Examples concerning the sklearn.cross_decomposition module. Compare cross decomposition methods Principal Component Regression vs Partial Least Squares Regressionscikit-learn.org/stable/auto_examples/cross_decomposition/index.html -
Frozen Estimators — scikit-learn 1.8.0 do...
Examples concerning the sklearn.frozen module. Examples of Using FrozenEstimatorscikit-learn.org/stable/auto_examples/frozen/index.html