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Results 11 - 20 of 43 for v (0.16 sec)

  1. MetaFilter Podcast

    at 9:01 AM - 21 comments 185a: V Rising and Severance Random podcast...so here it is. We talk about V Rising, a survive-o-craft vampire...
    podcast.metafilter.com
    Thu May 23 00:43:03 UTC 2024
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  2. bootstrap.js

    v=d.y,y=void 0===v?0:v,w="function"==typeof...d 0===_?u:_,v=i.elementContext,y=void 0===v?f:v,w=i.altBoundary,E=void...
    scikit-learn.org/dev/_static/scripts/bootstrap.js
    Tue May 21 18:58:18 UTC 2024
      79.7K bytes
      Similar Results (1)
     
  3. 1.2. Linear and Quadratic Discriminant Analysis...

    X_k^tX_k = \frac{1}{n - 1} V S^2 V^t\) where \(V\) comes from the SVD...(centered) matrix: \(X_k = U S V^t\) . It turns out that we can...
    scikit-learn.org/stable/modules/lda_qda.html
    Wed May 22 15:20:05 UTC 2024
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  4. feature_extraction.rst.txt

    :math:`v_{norm} = \frac{v}{||v||_2} = \frac{v}{\sqrt{v{_1}^2 +...:math:`v_{norm} = \frac{v}{||v||_2} = \frac{v}{\sqrt{v{_1}^2 +...
    scikit-learn.org/stable/_sources/modules/feature_extraction.rst.txt
    Tue May 21 18:58:19 UTC 2024
      43.6K bytes
     
  5. sklearn.svm.NuSVR — scikit-learn 1.4.2 document...

    is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...
    scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVR.html
    Mon May 20 18:34:25 UTC 2024
      55.8K bytes
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  6. decomposition.rst.txt

    V^*) = \underset{U, V}{\operatorname{arg\,min\,}}...multiply it with :math:`V_k`: .. math:: X' = X V_k .. note:: Most treatments...
    scikit-learn.org/stable/_sources/modules/decomposition.rst.txt
    Tue May 21 18:58:19 UTC 2024
      45.8K bytes
      1 views
     
  7. about.rst.txt

    V. and Thirion, B. and Grisel, O....P. and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos,...
    scikit-learn.org/stable/_sources/about.rst.txt
    Wed May 22 15:20:05 UTC 2024
      15.9K bytes
      3 views
     
  8. sklearn.svm.SVR — scikit-learn 1.4.2 documentation

    is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...
    scikit-learn.org/stable/modules/generated/sklearn.svm.SVR.html
    Mon May 20 18:34:25 UTC 2024
      58.1K bytes
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  9. Best of MetaFilter

    v. on Flickr nouvelle-personne has...
    bestof.metafilter.com
    Thu May 23 00:42:55 UTC 2024
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  10. testimonials.rst.txt

    v=Jm-eBD9xR3w>`_ has details. .....
    scikit-learn.org/stable/_sources/testimonials/testimonials.rst.txt
    Sun May 19 20:00:39 UTC 2024
      30.2K bytes
      4 views
     
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