Search Options

Results per page
Sort
Preferred Languages
Labels
Advance

Results 101 - 110 of 844 for test (0.08 sec)

  1. The Dark Side of LED Lighting | MetaFilter

    The best results from the tests, along with comparisons...database , based on actual tests of the lights instead of just...
    www.metafilter.com/203501/The-Dark-Side-of-LED-Lighting
    Sun Apr 28 00:52:17 UTC 2024
      39.7K bytes
      Cache
     
  2. sklearn.ensemble.AdaBoostRegressor — scikit-lea...

    n_features) Test samples. For some estimators...determine the prediction on a test set after each boost. Parameters...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostRegressor.html
    Sun May 19 20:00:39 UTC 2024
      59.6K bytes
      Cache
     
  3. Accelerating Elastic detection tradecraft with ...

    json test files, that included the essential...various model parameters Create a test suite to validate our results...
    www.elastic.co/security-labs/accelerating-elastic-detection-tradecraft-with-llms
    Sun May 19 01:07:54 UTC 2024
      79.8K bytes
      Cache
     
  4. sklearn.svm.NuSVC — scikit-learn 1.4.2 document...

    the mean accuracy on the given test data and labels. set_fit_request...(n_samples, n_features) or (n_samples_test, n_samples_train) For kernel=”precomputed”,...
    scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVC.html
    Sun May 19 20:00:39 UTC 2024
      69.3K bytes
      Cache
     
  5. sklearn.linear_model.PassiveAggressiveClassifie...

    classification of text documents Out-of-core classification of text documents...the mean accuracy on the given test data and labels. set_fit_request...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveClassifier.html
    Sun May 19 20:00:39 UTC 2024
      74.1K bytes
      Cache
     
  6. sklearn.feature_selection.SequentialFeatureSele...

    evaluate the predictions on the test set. NOTE that when using a...An iterable yielding (train, test) splits as arrays of indices....
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SequentialFeatureSelector.html
    Sun May 19 20:00:39 UTC 2024
      54.2K bytes
      Cache
     
  7. sklearn.ensemble.HistGradientBoostingClassifier...

    the mean accuracy on the given test data and labels. set_fit_request...the mean accuracy on the given test data and labels. In multi-label...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html
    Sun May 19 20:00:39 UTC 2024
      80.6K bytes
      Cache
     
  8. sklearn.linear_model.LogisticRegression — sciki...

    the mean accuracy on the given test data and labels. set_fit_request...the mean accuracy on the given test data and labels. In multi-label...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html
    Sun May 19 20:00:39 UTC 2024
      94.8K bytes
      Cache
     
  9. sklearn.mixture.BayesianGaussianMixture — sciki...

    log-likelihood of new samples at test time. The shape depends on covariance_type...log-likelihood of new samples at test time. The shape depends on covariance_type...
    scikit-learn.org/stable/modules/generated/sklearn.mixture.BayesianGaussianMixture.html
    Sun May 19 20:00:39 UTC 2024
      66.4K bytes
      Cache
     
  10. sklearn.covariance.OAS — scikit-learn 1.4.2 doc...

    score (X_test[, y]) Compute the log-likelihood of X_test under the...: X_test array-like of shape (n_samples, n_features) Test data...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.OAS.html
    Sun May 19 20:00:39 UTC 2024
      50.1K bytes
      Cache
     
Back to top