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Results 1 - 10 of 27 for c (0.03 seconds)

  1. test.c

    #include <sdtio.h> int main(void) { printf("Lorem ipsum. (ロレム・イプサム) 吾輩は猫である。"); } 0
    raw.githubusercontent.com/codelibs/fess-testdata/master/files/source_code/test.c
    Mon Jan 05 00:11:13 GMT 2026
      120 bytes
     
  2. plot_classifier_comparison.rst.txt

    C=0.025, random_state=42), SVC(gamma=2, C=1, random_state=42),...ax.scatter(X_train[:, 0], X_train[:, 1], c=y_train, cmap=cm_bright, edgecolors="k")...
    scikit-learn.org/stable/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt
    Mon Dec 29 13:14:49 GMT 2025
      7.8K bytes
     
  3. plot_classifier_comparison.ipynb

    C=0.025, random_state=42),\n SVC(gamma=2, C=1, random_state=42),\n...ax.scatter(X_train[:, 0], X_train[:, 1], c=y_train, cmap=cm_bright, edgecolors=\"k\")\n...
    scikit-learn.org/stable/_downloads/3438aba177365cb595921cf18806dfa7/plot_classifier_comparison.ipynb
    Mon Dec 29 13:14:48 GMT 2025
      5.7K bytes
     
  4. plot_classifier_comparison.py

    C=0.025, random_state=42), SVC(gamma=2, C=1, random_state=42),...ax.scatter(X_train[:, 0], X_train[:, 1], c=y_train, cmap=cm_bright, edgecolors="k")...
    scikit-learn.org/stable/_downloads/2da0534ab0e0c8241033bcc2d912e419/plot_classifier_comparison.py
    Mon Dec 29 13:14:48 GMT 2025
      4.8K bytes
     
  5. org.springframework.http.server.reactive.observ...

    ReceiverContext&lt;C&gt; io.micrometer.observation...port.RequestReplyReceiver&lt;C, RES&gt; (implements io.micro...
    docs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/http/server/reactive...
    Fri Feb 01 00:00:00 GMT 1980
      8.5K bytes
      Cache
     
  6. plot_pca_iris.zip

    c=iris.target, s=40, ) ax.set( title="First...X_reduced[:, 1],\n X_reduced[:, 2],\n c=iris.target,\n s=40,\n)\n\nax.set(\n...
    scikit-learn.org/stable/_downloads/99402c7ce7a6ab7fafcb48caa3c9447b/plot_pca_iris.zip
    Mon Dec 29 13:14:48 GMT 2025
      8.5K bytes
     
  7. plot_release_highlights_1_7_0.py

    or with conda:: conda install -c conda-forge scikit-learn """ #...d=False), LogisticRegression(C=2.0)) model # %% # Custom validation...
    scikit-learn.org/stable/_downloads/27dd4dbb41dee53fc86e0d5b6d3254d3/plot_release_highlights_1_7_0.py
    Fri Dec 05 17:52:54 GMT 2025
      4.7K bytes
     
  8. plot_release_highlights_1_7_0.ipynb

    with conda::\n\n conda install -c conda-forge scikit-learn\n" ]...d=False), LogisticRegression(C=2.0))\nmodel" ] }, { "cell_type":...
    scikit-learn.org/stable/_downloads/b7d178d09f44d400894015228deb0ddb/plot_release_highlights_1_7_0...
    Fri Dec 05 17:52:54 GMT 2025
      6.1K bytes
     
  9. plot_pca_iris.ipynb

    \n c=iris.target,\n s=40,\n)\n\nax.set(\n...
    scikit-learn.org/stable/_downloads/46b6a23d83637bf0f381ce9d8c528aa2/plot_pca_iris.ipynb
    Mon Dec 29 13:14:48 GMT 2025
      4.9K bytes
     
  10. plot_pca_iris.py

    c=iris.target, s=40, ) ax.set( title="First...
    scikit-learn.org/stable/_downloads/1168f82083b3e70f31672e7c33738f8d/plot_pca_iris.py
    Mon Dec 29 13:14:48 GMT 2025
      3.4K bytes
     
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