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風の電話 | MetaFilter
}(); </script> 風の電話 December 2, 2024 2:38 PM Subscribe "The wind...Death .' posted by clavdivs (2 comments total) 8 users marked...www.metafilter.com/206545/ -
3.4. Metrics and scoring: quantifying the quali...
y_true = [ - 2 , - 2 , - 2 ] >>> y_pred = [ - 2 , - 2 , - 2 ] >>> r2_score...y_true = [ - 2 , - 2 , - 2 ] >>> y_pred = [ - 2 , - 2 , - 2 + 1e-8...scikit-learn.org/dev/modules/model_evaluation.html -
auto_examples_python.zip
- l / 2.0) ** 2 + (y - l / 2.0) ** 2 < (l / 2.0) ** 2 mask =...color=colors[y_pred]) plt.xlim(-2.5, 2.5) plt.ylim(-2.5, 2.5) plt.xticks(())...scikit-learn.org/stable/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip -
cross_val_score — scikit-learn 1.7.dev0 documen...
pre_dispatch = '2*n_jobs' , error_score = nan )...pre_dispatch int or str, default=’2*n_jobs’ Controls the number of...scikit-learn.org/dev/modules/generated/sklearn.model_selection.cross_val_score.html -
feature_extraction.rst.txt
2.0986]}{\sqrt{\big(3^2 + 0^2 + 2.0986^2\big)}} = [...\frac{v}{||v||_2} = \frac{v}{\sqrt{v{_1}^2 + v{_2}^2 + \dots + v{_n}^2}}`....scikit-learn.org/stable/_sources/modules/feature_extraction.rst.txt -
load_diabetes — scikit-learn 1.6.0 documentation
2 < x < .2 Targets integer 25 - 346...scikit-learn 1.2 Release Highlights for scikit-learn 1.2 Gradient Boosting...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_diabetes.html -
GroupKFold — scikit-learn 1.6.0 documentation
Fold 0: Train: index=[2 3], group=[2 2] Test: index=[0 1 4 5],...group=[0 0 3 3] Test: index=[2 3], group=[2 2] get_metadata_routing...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupKFold.html -
GroupShuffleSplit — scikit-learn 1.6.0 document...
0: Train: index=[2 3 4 5 6 7], group=[2 2 2 3 3 3] Test: index=[0...3 3 3] Test: index=[2 3 4], group=[2 2 2] get_metadata_routing...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupShuffleSplit.html -
RepeatedStratifiedKFold — scikit-learn 1.6.0 do...
index=[1 2] Fold 2: Train: index=[1 3] Test: index=[0 2] Fold 3:...np . array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]]) >>>...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedStratifiedKFold.html -
1.6. Nearest Neighbors — scikit-learn 1.6.0 doc...
2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2 ]) >>>...- 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...scikit-learn.org/stable/modules/neighbors.html