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gen_batches — scikit-learn 1.7.2 documentation
list ( gen_batches ( 2 , 3 )) [slice(0, 2, None)] >>> list ( gen_batches...gen_batches ( 7 , 3 , min_batch_size = 2 )) [slice(0, 3, None), slice(3,...scikit-learn.org/stable/modules/generated/sklearn.utils.gen_batches.html -
load_sample_images — scikit-learn 1.7.2 documen...
images ) 2 >>> first_img_data = dataset ....scikit-learn.org/stable/modules/generated/sklearn.datasets.load_sample_images.html -
Outlier detection on a real data set — scikit-l...
2 ]] # two clusters fig , ax = plt..."outlying points" , xy = ( 4 , 2 ), xycoords = "data" , textcoords...scikit-learn.org/stable/auto_examples/applications/plot_outlier_detection_wine.html -
Frozen Estimators — scikit-learn 1.7.2 document...
scikit-learn.org/stable/auto_examples/frozen/index.html -
Cross decomposition — scikit-learn 1.7.2 docume...
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 -
Related Projects — scikit-learn 1.7.2 documenta...
Projects implementing the scikit-learn estimator API are encouraged to use the scikit-learn-contrib template which facilitates best practices for testing and documenting estimators. The scikit-lear...scikit-learn.org/stable/related_projects.html -
Nearest Neighbors — scikit-learn 1.7.2 document...
Examples concerning the sklearn.neighbors module. Approximate nearest neighbors in TSNE Caching nearest neighbors Comparing Nearest Neighbors with and without Neighborhood Components Analysis Dimen...scikit-learn.org/stable/auto_examples/neighbors/index.html -
haversine_distances — scikit-learn 1.7.2 docume...
data must be 2. \[D(x, y) = 2\arcsin[\sqrt{\sin^2((x_{lat} - y_{lat})...y_{lat}) / 2) + \cos(x_{lat})\cos(y_{lat})\ sin^2((x_{lon} -...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.haversine_distances.html -
Gradient Boosting regularization — scikit-learn...
2" , "turquoise" , { "learning_rate" : 0.2 , "subsample"..."learning_rate=0.2, subsample=0.5" , "gray" , { "learning_rate" : 0.2 , "subsample"...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regularization.html -
Nearest Centroid Classification — scikit-learn ...
2 0.82 # Authors: The scikit-learn...dataset X = iris . data [:, : 2 ] y = iris . target # Create color...scikit-learn.org/stable/auto_examples/neighbors/plot_nearest_centroid.html