Search Options

Display Count
Sort
Preferred Language
Label
Advanced Search

Results 161 - 170 of 2,950 for test (0.11 seconds)

Filter
  1. ARIMA models in Python

    statistical test called a unit root test. The ADF test is conducted...using two tests: the Augmented Dickey-Fuller (ADF) test and the...
    developer.ibm.com/tutorials/awb-arima-models-in-python/
    Tue Mar 24 01:21:03 UTC 2026
      29.2K bytes
      Cache
     
  2. Open Source Full-text Search Server - Fess Deve...

    Testing Create and run unit tests to verify changes...# JSP files │ └── test/ │ └── java/ # Test code ├── pom.xml #...
    fess.codelibs.org/dev/getting-started.html
    Mon Mar 23 02:51:17 UTC 2026
      47.1K bytes
      1 views
      Cache
     
  3. Measuring the recall of quantized vector search...

    a scale test, reloading the full dataset and testing against...results, we built a repeatable test harness using the DBPedia-14...
    www.elastic.co/search-labs/blog/recall-vector-search-quantization
    Mon Mar 23 02:06:23 UTC 2026
      44K bytes
      Cache
     
  4. Model Selection — scikit-learn 1.8.0 documentation

    (ROC) Nested versus non-nested cross-validation Nested versus...regularization on training and test error Effect of model regularization...
    scikit-learn.org/stable/auto_examples/model_selection/index.html
    Mon Mar 23 20:39:20 UTC 2026
      15.2K bytes
      Cache
     
  5. 构建和测试

    单元测试的执行 执行所有单元测试 mvn test 执行特定的测试类 mvn test -Dtest = SearchServiceTest...search ( "test" ); } } 测试覆盖率 使用 JaCoCo 测量测试覆盖率: mvn clean test jacoco:report...
    fess.codelibs.org/zh-cn/dev/building.html
    Mon Mar 23 03:00:36 UTC 2026
      57.9K bytes
      Cache
     
  6. 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
    Tue Mar 17 03:44:36 UTC 2026
      8.8K bytes
     
  7. ShuffleSplit — scikit-learn 1.8.0 documentation

    4] Test: index=[5 2] Fold 1: Train: index=[4 0 2 5] Test: index=[1...0] Test: index=[3 5] Fold 3: Train: index=[3 4 1 0] Test: index=[5...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html
    Mon Mar 23 20:39:23 UTC 2026
      15.5K bytes
      Cache
     
  8. TimeSeriesSplit — scikit-learn 1.8.0 documentation

    index=[0] Test: index=[1] Fold 1: Train: index=[0 1] Test: index=[2]...1 2] Test: index=[3] Fold 3: Train: index=[0 1 2 3] Test: index=[4]...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html
    Mon Mar 23 20:39:20 UTC 2026
      16.1K bytes
      Cache
     
  9. Faces recognition example using eigenfaces and ...

    set and a test and keep 25% of the data for testing. X_train ,...of the model quality on the test set print ( "Predicting people's...
    scikit-learn.org/stable/auto_examples/applications/plot_face_recognition.html
    Mon Mar 23 20:39:22 UTC 2026
      18.2K bytes
      Cache
     
  10. Gradient Boosting Out-of-Bag estimates — scikit...

    X_train [ test ], y_train [ test ]) val_scores /= n_splits...cv_estimate ( 3 ) # Compute best n_estimator for test data test_score =...
    scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_oob.html
    Mon Mar 23 20:39:20 UTC 2026
      17.8K bytes
      Cache
     
Back to Top