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LassoLarsIC — scikit-learn 1.8.0 document...
[[ - 2 , 2 ], [ - 1 , 1 ], [ 0 , 0 ], [ 1 , 1 ], [ 2 , 2 ]] >>>...>>> y = [ - 2.2222 , - 1.1111 , 0 , - 1.1111 , - 2.2222 ] >>>...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsIC.html -
inplace_csr_column_scale — scikit-learn 1...
2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2 , 5...>>> scale = np . array ([ 2 , 3 , 2 ]) >>> csr = sparse...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_csr_column_scale.html -
LeavePGroupsOut — scikit-learn 1.8.0 docu...
group=[2] Test: index=[0 2], group=[1 3] Fold 2: Train: index=[0],...([ 1 , 2 , 1 ]) >>> groups = np . array ([ 1 , 2 , 3 ])...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePGroupsOut.html -
confusion_matrix — scikit-learn 1.8.0 doc...
>>> y_true = [ 2 , 0 , 2 , 2 , 0 , 1 ] >>> y_pred...y_pred = [ 0 , 0 , 2 , 2 , 0 , 2 ] >>> confusion_matrix...scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix.html -
auto_examples_python.zip
- l / 2.0) ** 2 + (y - l / 2.0) ** 2 < (l / 2.0) ** 2 mask =...+ 1, figsize=(4 * 2.2, n_classifiers * 2.2), ) evaluation_results...scikit-learn.org/stable/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip -
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 -
Plot randomly generated multilabel dataset R...
1500 * p_c ** 2 , color = COLORS . take ([ 1 , 2 , 4 ]), ) ax...means the class is present: 1 2 3 Color Y N N Red N Y N Blue N...scikit-learn.org/stable/auto_examples/datasets/plot_random_multilabel_dataset.html -
d2_pinball_score — scikit-learn 1.8.0 doc...
Notes Like \(R^2\) , \(D^2\) score may be negative (it...], [ 2 ], [ 3 ], [ 4 ]]) >>> y = np . array ([ 2.5 ,...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_pinball_score.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 -
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...