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Results 1 - 20 of 38 for test (0.1 sec)

  1. test.cpp

    #include <sdtio.h> int main(void) { printf("Lorem ipsum. (ロレム・イプサム) 吾輩は猫である。"); }
    raw.githubusercontent.com/codelibs/fess-testdata/master/source_code/test.cpp
    Thu Mar 28 00:01:19 UTC 2024
      120 bytes
      6 views
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  2. test_nocharset.html

    Lorem ipsum. (ロレム・イプサム) 吾輩は猫である。
    raw.githubusercontent.com/codelibs/fess-testdata/master/html/test_nocharset.html
    Thu Mar 28 00:00:57 UTC 2024
      96 bytes
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  3. test.mm

    1"> <node TEXT="Lorem ipsum. (&#12525;&#12...
    raw.githubusercontent.com/codelibs/fess-testdata/master/xml/test.mm
    Thu Mar 28 00:00:35 UTC 2024
      196 bytes
      1 views
     
  4. test.js

    function foo() { var bar = "Lorem ipsum. (ロレム・イプサム) 吾輩は猫である。"; }
    raw.githubusercontent.com/codelibs/fess-testdata/master/source_code/test.js
    Thu Mar 28 00:00:36 UTC 2024
      99 bytes
      3 views
     
  5. test.java

    test.javapackage com.foo.bar; public class Test { public String...String test="Lorem ipsum. (ロレム・イプサム) 吾輩は猫である。"; } 5...
    raw.githubusercontent.com/codelibs/fess-testdata/master/source_code/test.java
    Thu Mar 28 00:00:37 UTC 2024
      136 bytes
     
  6. test.hpp

    // Lorem ipsum. (ロレム・イプサム) 吾輩は猫である。 typedef int & Integer;
    raw.githubusercontent.com/codelibs/fess-testdata/master/source_code/test.hpp
    Thu Mar 28 00:01:12 UTC 2024
      92 bytes
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  7. cross_validation.rst.txt

    available data as a **test set** ``X_test, y_test``. Note that the...>>> X_train, X_test, y_train, y_test = train_test_split( ... X,...
    scikit-learn.org/stable/_sources/modules/cross_validation.rst.txt
    Wed Mar 27 16:42:11 UTC 2024
      39.9K bytes
      6 views
     
  8. feature_selection.rst.txt

    the best features based on univariate statistical tests. It can...we can use a F-test to retrieve the two best features for a dataset...
    scikit-learn.org/stable/_sources/modules/feature_selection.rst.txt
    Wed Mar 27 16:42:11 UTC 2024
      14.3K bytes
      1 views
     
  9. model_evaluation.rst.txt

    ratio (pre-test and post-tests): .. math:: \text{post-test odds} =...\frac{\text{pre-test probability}}{1 - \text{pre-test probability}},...
    scikit-learn.org/stable/_sources/modules/model_evaluation.rst.txt
    Wed Mar 27 16:42:11 UTC 2024
      118.5K bytes
      2 views
     
  10. plot_multi_metric_evaluation.rst.txt

    1)[0][0] best_score = results["mean_test_%s" % scorer][best_index]...etc...) The ``best_estimator_``, ``best_index_``, ``best_score_``...
    scikit-learn.org/stable/_sources/auto_examples/model_selection/plot_multi_metric_evaluation.rst.txt
    Thu Mar 21 12:24:56 UTC 2024
      6.4K bytes
     
  11. index.rst.txt

    example compares non-nested and nested cross-validation strategies...class="sphx-glr-thumbnail-title">Nested versus non-nested cross-validation</div>...
    scikit-learn.org/stable/_sources/auto_examples/index.rst.txt
    Wed Mar 27 16:42:11 UTC 2024
      144.7K bytes
      5 views
     
  12. linear_model.rst.txt

    cost of :math:`O(n_{\text{samples}} n_{\text{features}}^2)`, assuming...that :math:`n_{\text{samples}} \geq n_{\text{features}}`. .....
    scikit-learn.org/stable/_sources/modules/linear_model.rst.txt
    Tue Mar 26 15:09:54 UTC 2024
      77.9K bytes
      7 views
     
  13. about.rst.txt

    please see `What's the best way to ask questions about scikit-learn.../stable/faq.html#what-s-the-best-way-to-get-help-on-scikit-learn-usage>`_...
    scikit-learn.org/stable/_sources/about.rst.txt
    Mon Mar 25 23:07:12 UTC 2024
      16.5K bytes
      2 views
     
  14. plot_classifier_comparison.rst.txt

    and test part X, y = ds X_train, X_test, y_train, y_test = train_test_split(...Plot the testing points ax.scatter( X_test[:, 0], X_test[:, 1],...
    scikit-learn.org/stable/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt
    Wed Mar 27 16:42:11 UTC 2024
      7.7K bytes
     
  15. support.rst.txt

    about repository updates and test failures on the `scikit-learn-commits...
    scikit-learn.org/stable/_sources/support.rst.txt
    Wed Mar 27 16:42:10 UTC 2024
      2.9K bytes
     
  16. classes.rst.txt

    _text_feature_extraction_ref: From text --------- .....feature_extraction.text.CountVectorizer feature_extraction.text.HashingVectorizer...
    scikit-learn.org/stable/_sources/modules/classes.rst.txt
    Wed Mar 27 16:42:11 UTC 2024
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  17. feature_extraction.rst.txt

    :math:`\text{tf-idf}_{\text{term1}} = \text{tf} \times \text{idf}...:math:`\text{tf-idf(t,d)}=\text{tf(t,d)} \times \text{idf(t)}`....
    scikit-learn.org/stable/_sources/modules/feature_extraction.rst.txt
    Wed Mar 27 16:42:11 UTC 2024
      43.4K bytes
     
  18. getting_started.rst.txt

    X_test, y_train, y_test = train_test_split(X, y, random_state=0)...>>> X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0)...
    scikit-learn.org/stable/_sources/getting_started.rst.txt
    Wed Mar 27 16:42:11 UTC 2024
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  19. preprocessing.rst.txt

    K_{test} - 1'_{\text{n}_{samples}} K - K_{test} 1_{\text{n}_{samples}}...>>> X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=42)...
    scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt
    Wed Mar 27 16:42:11 UTC 2024
      52.7K bytes
     
  20. glossary.rst.txt

    common tests This refers to the tests run on almost every...``(train_idx, test_idx)`` pairs. Each of {train,test}_idx is a 1d...
    scikit-learn.org/stable/_sources/glossary.rst.txt
    Tue Mar 26 15:09:58 UTC 2024
      88.1K bytes
      1 views
     
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