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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。raw.githubusercontent.com/codelibs/fess-testdata/master/archive/test.tar -
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 -
plot_hgbt_regression.py
import train_test_split X_train, X_test, y_train, y_test = train_test_split(X,...train_test_split(X, y, test_size=0.4, shuffle=False) print(f"Training...scikit-learn.org/stable/_downloads/d108f2283ac3905eb623b32d42217a2b/plot_hgbt_regression.py -
feed.xml
import { test, expect } from "@playwright/test"; test("homepage...import { test, expect } from "@playwright/test"; test("homepage...www.elastic.co/observability-labs/rss/feed.xml -
java-editor-templates.xml
test_junit4 Test @${testType:newType(org.junit.Test)} public...false test method true org.eclipse.jdt.ui.templates.test test...dbflute.seasar.org/download/patch/handson/20140921_templates/java-editor-templates.xml -
gads.js
ads_test"),a)c="preview/"+a;else{var l="test1",p="test2";try...ad_test"in e.ARGV&&"true"==e.ARGV.gooad_test&&(e.GAM_TEST_EN...adcdn.goo.ne.jp/images/js/gads.js -
plot_classifier_comparison.ipynb
y_test = train_test_split(\n X, y, test_size=0.4, random_state=42\n...the testing points\n ax.scatter(\n X_test[:, 0], X_test[:, 1],...scikit-learn.org/stable/_downloads/3438aba177365cb595921cf18806dfa7/plot_classifier_comparison.ipynb -
plot_hgbt_regression.zip
import train_test_split X_train, X_test, y_train, y_test = train_test_split(X,...import train_test_split\n\nX_train, X_test, y_train, y_test = train_test_split(X,...scikit-learn.org/stable/_downloads/ef504a3cb245a55fde178198c8218b4a/plot_hgbt_regression.zip -
plot_multi_metric_evaluation.zip
``'_<scorer_name>'`` (``'mean_test_precision'``, ``'rank_test_precision'``, etc...)...``'_<scorer_name>'`` (``'mean_test_precision'``,\n``'rank_test_precision'``,...scikit-learn.org/stable/_downloads/535778bfbc9b4881da3e662bc2ea8484/plot_multi_metric_evaluation.zip -
plot_multi_metric_evaluation.py
``'_<scorer_name>'`` (``'mean_test_precision'``, ``'rank_test_precision'``, etc...)...style in (("train", "--"), ("test", "-")): sample_score_mean =...scikit-learn.org/stable/_downloads/dedbcc9464f3269f4f012f4bfc7d16da/plot_multi_metric_evaluation.py