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lastaflute-lastadoc-json-execute-snapshot.png
rdf:about="" xmlns:exif="http://ns.adobe.com/exif/1.0/"> ...rdf:about="" xmlns:exif="http://ns.adobe.com/exif/1.0/"> ...dbflute.seasar.org/data/snapshot/lastaflute/lastaflute-lastadoc-json-execute-snapshot.png -
lastaflute-action-across.png
1 none deflate 1.0 1188 8 8 8 PixelInterleaved width=1617, height=1188,...height=1188, bitDepth=8, colorType=RGB, compressionMethod=deflate,...dbflute.seasar.org/data/model/lastaflute/lastaflute-action-across.png -
A demo of K-Means clustering on the handwritten...
initialization methods. Parameters ---------- kmeans : KMeans instance...silhouette k-means++ 0.032s 69545 0.598 0.645 0.621 0.469 0.617...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_digits.html -
Demonstration of multi-metric evaluation on cro...
scoring ), [ "g" , "k" ]): for sample , style in (( "train" , "--" ),...else 0.7 , label = " %s ( %s )" % ( scorer , sample ), ) best_index...scikit-learn.org/stable/auto_examples/model_selection/plot_multi_metric_evaluation.html -
load_sample_image — scikit-learn 1.7.2 document...
load_sample_image ( 'china.jpg' ) >>> china . dtype dtype('uint8') >>> china...'flower.jpg' ) >>> flower . dtype dtype('uint8') >>> flower . shape...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_sample_image.html -
PLSSVD — scikit-learn 1.7.2 documentation
([[ 0. , 0. , 1. ], ... [ 1. , 0. , 0. ], ... [ 2. , 2. , 2....0.2 ], ... [ 0.9 , 1.1 ], ... [ 6.2 , 5.9 ], ... [ 11.9 , 12.3 ]])...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSSVD.html -
oas — scikit-learn 1.7.2 documentation
estimation.”, Chen, Y., Wiesel, A., Eldar, Y. C., & Hero, A. O. IEEE...shrunk_cov array([[0.7533, 0.2763], [0.2763, 0.3964]]) >>> shrinkage...scikit-learn.org/stable/modules/generated/oas-function.html -
SelectFdr — scikit-learn 1.7.2 documentation
generated: ["x0", "x1", ..., "x(n_features_in_ - 1)"] . If input_features..., alpha = 0.01 ) . fit_transform ( X , y ) >>> X_new . shape...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFdr.html -
img_to_graph — scikit-learn 1.7.2 documentation
ndarray ) array([[0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 1], [0, 1,...0 ], [ 0 , 1 ]]) >>> img_to_graph ( img , return_as = np . ndarray...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.img_to_graph.html -
ridge_regression — scikit-learn 1.7.2 documenta...
version 0.17. solver {‘auto’, ‘svd’, ‘cholesky’, ‘lsqr’, ‘sparse_cg’,...‘sparse_cg’, ‘sag’, ‘saga’, ‘lbfgs’}, default=’auto’ Solver to use...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ridge_regression.html
