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Comparison of LDA and PCA 2D projection of Iris...
The Iris dataset represents 3 kind of Iris flowers (Setosa, Versicolour and Virginica) with 4 attributes: sepal length, sepal width, petal length and petal width. Principal Component Analysis (PCA)...scikit-learn.org/stable/auto_examples/decomposition/plot_pca_vs_lda.html -
6.1. 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 -
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 -
top_k_accuracy_score — scikit-learn 1.6.1 docum...
Skip to main content Back to top Ctrl + K GitHub Choose version top_k_accuracy_score # sklearn.metrics. top_k_accurac...scikit-learn.org/stable/modules/generated/sklearn.metrics.top_k_accuracy_score.html -
An example of K-Means++ initialization — scikit...
An example to show the output of the sklearn.cluster.kmeans_plusplus function for generating initial seeds for clustering. K-Means++ is used as the default initialization for K-means. Total running...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_plusplus.html -
mean_squared_log_error — scikit-learn 1.6.1 doc...
Skip to main content Back to top Ctrl + K GitHub Choose version mean_squared_log_error # sklearn.metrics. mean_square...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_squared_log_error.html -
homogeneity_completeness_v_measure — scikit-lea...
Skip to main content Back to top Ctrl + K GitHub Choose version homogeneity_completeness_v_measure # sklearn.metrics....scikit-learn.org/stable/modules/generated/sklearn.metrics.homogeneity_completeness_v_measure.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 -
root_mean_squared_error — scikit-learn 1.6.1 do...
Gallery examples: Features in Histogram Gradient Boosting Trees Lagged features for time series forecastingscikit-learn.org/stable/modules/generated/sklearn.metrics.root_mean_squared_error.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...