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fetch_kddcup99 — scikit-learn 1.7.0 documentation
Added in version 1.5. delay float, default=1.0 Number of seconds...False , n_retries = 3 , delay = 1.0 ) [source] # Load the kddcup99...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_kddcup99.html -
silhouette_score — scikit-learn 1.7.0 documenta...
The best value is 1 and the worst value is -1. Values near 0 indicate...2 <= n_labels <= n_samples - 1 . This function returns the mean...scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_score.html -
plot_release_highlights_1_7_0.ipynb
Release Highlights for scikit-learn 1.7\n\n.. currentmodule:: sklearn\n\nWe...announce the release of scikit-learn 1.7! Many bug fixes\nand improvements...scikit-learn.org/stable/_downloads/b7d178d09f44d400894015228deb0ddb/plot_release_highlights_1_7_0... -
RocCurveDisplay — scikit-learn 1.7.0 documentation
y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...([ 0 , 0 , 1 , 1 ]) >>> y_score = np . array ([ 0.1 , 0.4 , 0.35...scikit-learn.org/stable/modules/generated/sklearn.metrics.RocCurveDisplay.html -
RadiusNeighborsClassifier — scikit-learn 1.7.0 ...
() array([[1., 0., 1.], [0., 1., 0.], [1., 0., 1.]]) score (...[[ 0 ], [ 1 ], [ 2 ], [ 3 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>> from...scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsClassifier.html -
sklearn.cluster — scikit-learn 1.7.0 documentation
Popular unsupervised clustering algorithms. User guide. See the Clustering and Biclustering sections for further details.scikit-learn.org/stable/api/sklearn.cluster.html -
Gaussian Mixture Models — scikit-learn 1.7.0 do...
Examples concerning the sklearn.mixture module. Concentration Prior Type Analysis of Variation Bayesian Gaussian Mixture Density Estimation for a Gaussian mixture GMM Initialization Methods GMM cov...scikit-learn.org/stable/auto_examples/mixture/index.html -
sklearn.decomposition — scikit-learn 1.7.0 docu...
Matrix decomposition algorithms. These include PCA, NMF, ICA, and more. Most of the algorithms of this module can be regarded as dimensionality reduction techniques. User guide. See the Decomposing...scikit-learn.org/stable/api/sklearn.decomposition.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 -
Plot classification boundaries with different S...
1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 ]) # Plotting settings...], [ - 1.5 , - 1.0 ], [ - 1.4 , - 0.9 ], [ - 1.3 , - 1.2 ], [...scikit-learn.org/stable/auto_examples/svm/plot_svm_kernels.html