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d2_absolute_error_score — scikit-learn 1....
2 , 3 ] >>> y_pred = [ 2 , 2 , 2 ] >>>...- 0.5 , 2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_absolute_error_score.html -
Compare cross decomposition methods — sci...
that: Y = XB + Err) [[1 1 1] [2 2 2] [0 0 0] [0 0 0] [0 0 0] [0...comp. 2" ) plt . title ( "X comp. 1 vs X comp. 2 (test...scikit-learn.org/stable/auto_examples/cross_decomposition/plot_compare_cross_decomposition.html -
Manifold learning on handwritten digits: Locall...
zorder = 2 , ) shown_images = np . array...(( X [ i ] - shown_images ) ** 2 , 1 ) if np . min ( dist ) <...scikit-learn.org/stable/auto_examples/manifold/plot_lle_digits.html -
AutoOps regions | Elastic Docs
Virginia) us-east-2 US East (Ohio) us-west-2 US West (Oregon)...US East (N. Virginia) us-east-2 US East (Ohio) us-west-1 US West...www.elastic.co/docs/deploy-manage/monitor/autoops/ec-autoops-regions -
haversine_distances — scikit-learn 1.8.0 ...
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 -
Robust vs Empirical covariance estimate —...
subplot ( 2 , 1 , 1 ) lw = 2 plt . errorbar ( range_n_outliers...font_prop ) plt . subplot ( 2 , 1 , 2 ) x_size = range_n_outliers...scikit-learn.org/stable/auto_examples/covariance/plot_robust_vs_empirical_covariance.html -
unique_labels — scikit-learn 1.8.0 docume...
2 , 3 , 4 ], [ 2 , 2 , 3 , 4 ]) array([1, 2, 3, 4]) >>>...unique_labels ([ 1 , 2 , 10 ], [ 5 , 11 ]) array([ 1, 2, 5, 10, 11])...scikit-learn.org/stable/modules/generated/sklearn.utils.multiclass.unique_labels.html -
Label Propagation digits: Active learning ̵...
0 24 0] [ 0 0 0 0 2 1 0 2 2 27]] Iteration 2 __________ Label...0 0 0 0 0 25 0] [ 0 0 0 0 2 1 0 2 2 27]] Iteration 1 __________...scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_digits_active_learni... -
inplace_swap_column — scikit-learn 1.8.0 ...
2 , 2 ]) >>> data = np . array ([ 8 , 2 , 5 ])...>>> indptr = np . array ([ 0 , 2 , 3 , 3 , 3 ]) >>> indices...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_swap_column.html -
inplace_row_scale — scikit-learn 1.8.0 do...
2 , 5 , 6 ]) >>> scale = np . array ([ 2 , 3 ,...>>> indptr = np . array ([ 0 , 2 , 3 , 4 , 5 ]) >>> indices...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_row_scale.html