- Sort Score
- Num 10 results
- Language All
- Labels All
Results 1 - 10 of 17 for tests (0.31 seconds)
-
test.tar.gz
test.tar data/folder/file.html Lorem ipsum. (ロレム・イプサム) 吾輩は猫である。...raw.githubusercontent.com/codelibs/fess-testdata/master/archive/test.tar.gz -
test.tar
data/folder/file.html Lorem ipsum. (ロレム・イプサム) 吾輩は猫である。 data/file.txt Lorem ipsum. (ロレム・イプサム) 吾輩は猫である。 0raw.githubusercontent.com/codelibs/fess-testdata/master/archive/test.tar -
auto_examples_python.zip
randint(test.shape[0], size=(n_faces,)) test = test[face_ids,...key.startswith("test_"): metric = key.split("test_")[1] scores =...scikit-learn.org/stable/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip -
auto_examples_jupyter.zip
startswith(\"test_\"):\n metric = key.split(\"test_\")[1]\n scores...key.startswith(\"test_\"):\n metric = key.split(\"test_\")[1]\n scores...scikit-learn.org/stable/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip -
plot_multi_metric_evaluation.zip
("test", "-")): sample_score_mean =...sample_score_std, alpha=0.1 if sample == "test" else 0, color=color, ) ax.plot(...scikit-learn.org/stable/_downloads/535778bfbc9b4881da3e662bc2ea8484/plot_multi_metric_evaluation.zip -
plot_classifier_comparison.zip
points in solid colors and testing points semi-transparent. The...classification accuracy on the test set. """ # Authors: The scikit-learn...scikit-learn.org/stable/_downloads/ce35bcc69acbd491cf7ac77fa17889d5/plot_classifier_comparison.zip -
plot_multi_metric_evaluation.py
("test", "-")): sample_score_mean =...sample_score_std, alpha=0.1 if sample == "test" else 0, color=color, ) ax.plot(...scikit-learn.org/stable/_downloads/dedbcc9464f3269f4f012f4bfc7d16da/plot_multi_metric_evaluation.py -
plot_hgbt_regression.zip
shape[0]}") print(f"Test sample size: {X_test.shape[0]}")...slice(0, 336) # first week in the test set as 7 * 48 = 336 missing_fraction_list...scikit-learn.org/stable/_downloads/ef504a3cb245a55fde178198c8218b4a/plot_hgbt_regression.zip -
plot_classifier_comparison.py
points in solid colors and testing points semi-transparent. The...classification accuracy on the test set. """ # Authors: The scikit-learn...scikit-learn.org/stable/_downloads/2da0534ab0e0c8241033bcc2d912e419/plot_classifier_comparison.py -
plot_classifier_comparison.ipynb
points in solid colors and testing points\nsemi-transparent. The...classification accuracy on the test\nset.\n" ] }, { "cell_type":...scikit-learn.org/stable/_downloads/3438aba177365cb595921cf18806dfa7/plot_classifier_comparison.ipynb