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sparse_encode — scikit-learn 1.7.0 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version sparse_encode # sklearn.decomposition. sparse_encode ...scikit-learn.org/stable/modules/generated/sklearn.decomposition.sparse_encode.html -
sklearn.calibration — scikit-learn 1.7.0 docume...
Methods for calibrating predicted probabilities. User guide. See the Probability calibration section for further details. Visualization:scikit-learn.org/stable/api/sklearn.calibration.html -
export_text — scikit-learn 1.7.0 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version export_text # sklearn.tree. export_text ( decision_tr...scikit-learn.org/stable/modules/generated/sklearn.tree.export_text.html -
Nested versus non-nested cross-validation — sci...
This example compares non-nested and nested cross-validation strategies on a classifier of the iris data set. Nested cross-validation (CV) is often used to train a model in which hyperparameters al...scikit-learn.org/stable/auto_examples/model_selection/plot_nested_cross_validation_iris.html -
Principal Component Analysis (PCA) on Iris Data...
This example shows a well known decomposition technique known as Principal Component Analysis (PCA) on the Iris dataset. This dataset is made of 4 features: sepal length, sepal width, petal length,...scikit-learn.org/stable/auto_examples/decomposition/plot_pca_iris.html -
Probabilistic predictions with Gaussian process...
This example illustrates the predicted probability of GPC for an RBF kernel with different choices of the hyperparameters. The first figure shows the predicted probability of GPC with arbitrarily c...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc.html -
Outlier detection with Local Outlier Factor (LO...
The Local Outlier Factor (LOF) algorithm is an unsupervised anomaly detection method which computes the local density deviation of a given data point with respect to its neighbors. It considers as ...scikit-learn.org/stable/auto_examples/neighbors/plot_lof_outlier_detection.html -
Demonstration of k-means assumptions — scikit-l...
the example Clustering text documents using k-means ). In the case...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_assumptions.html -
Version 0.24 — scikit-learn 1.7.0 documentation
previously didn’t work as documented – or according to reasonable...by Nathan C. . Code and documentation contributors Thanks to everyone...scikit-learn.org/stable/whats_new/v0.24.html -
3.4. Metrics and scoring: quantifying the quali...
estimator can be found in its documentation. Scoring parameter : Model-evaluation...See Classification of text documents using sparse features for...scikit-learn.org/stable/modules/model_evaluation.html