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SGD: Maximum margin separating hyperplane — sci...
Plot the maximum margin separating hyperplane within a two-class separable dataset using a linear Support Vector Machines classifier trained using SGD. Total running time of the script:(0 minutes 0...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_separating_hyperplane.html -
11. Common pitfalls and recommended practices —...
The purpose of this chapter is to illustrate some common pitfalls and anti-patterns that occur when using scikit-learn. It provides examples of what not to do, along with a corresponding correct ex...scikit-learn.org/stable/common_pitfalls.html -
14. External Resources, Videos and Talks — scik...
The scikit-learn MOOC: If you are new to scikit-learn, or looking to strengthen your understanding, we highly recommend the scikit-learn MOOC (Massive Open Online Course). The MOOC, created and mai...scikit-learn.org/stable/presentations.html -
2.1. Gaussian mixture models — scikit-learn 1.8...
sklearn.mixture is a package which enables one to learn Gaussian Mixture Models (diagonal, spherical, tied and full covariance matrices supported), sample them, and estimate them from data. Facilit...scikit-learn.org/stable/modules/mixture.html -
7.1. Pipelines and composite estimators — sciki...
To build a composite estimator, transformers are usually combined with other transformers or with predictors(such as classifiers or regressors). The most common tool used for composing estimators i...scikit-learn.org/stable/modules/compose.html -
Selecting the number of clusters with silhouett...
scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_silhouette_analysis.html -
A demo of K-Means clustering on the handwritten...
scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_digits.html -
9.1. Strategies to scale computationally: bigge...
beyond the scope of this documentation. 9.1.1.2. Extracting features...shingVectorizer for text documents. 9.1.1.3. Incremental learning...scikit-learn.org/stable/computing/scaling_strategies.html -
incr_mean_variance_axis — scikit-learn 1....
Skip to main content Back to top Ctrl + K GitHub Choose version incr_mean_variance_axis # sklearn.utils.sparsefuncs. ...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.incr_mean_variance_axis.html -
MethodMapping — scikit-learn 1.8.0 docume...
scikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.MethodMapping.html