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Results 1 - 10 of 34 for test (0.08 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
    Sat Jun 01 00:01:13 UTC 2024
      120 bytes
      7 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
    Sat Jun 01 00:00:47 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
    Sat Jun 01 00:00:32 UTC 2024
      196 bytes
      2 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
    Sat Jun 01 00:01:11 UTC 2024
      99 bytes
      4 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
    Sat Jun 01 00:01:26 UTC 2024
      136 bytes
      1 views
     
  6. test.h

    // 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.h
    Sat Jun 01 00:01:25 UTC 2024
      92 bytes
      1 views
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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
    Fri May 31 14:06:06 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
    Tue May 28 11:51:33 UTC 2024
      14.2K 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
    Fri May 31 14:06:06 UTC 2024
      121.2K bytes
      2 views
     
  10. contributing.rst.txt

    sklearn/linear_model/tests/test_logistic.py` to run the tests specific to...center .. _testing_coverage: Testing and improving test coverage...
    scikit-learn.org/dev/_sources/developers/contributing.rst.txt
    Fri May 31 14:06:03 UTC 2024
      60.7K bytes
      1 views
     
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