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  1. cross_validation.rst.txt

    "c", "c", "c", "d", "d", "d"] >>> groups...= ["a", "b", "b", "b", "c", "c", "c", "a"] >>> groups = [1, 1,...
    scikit-learn.org/stable/_sources/modules/cross_validation.rst.txt
    Wed Mar 27 16:42:11 UTC 2024
      39.9K bytes
      6 views
     
  2. gtm.js

    Ra(c[d])&&(c[d]=[]),c[d]=Ua(e,c[d])):Ta(e)?(Ta(c[d])||(c[d]=...ar b=[],c=0;c<a.length();c++)a.has(c)&&(b[c]=a.get(c));return...
    www.googletagmanager.com/gtm.js
    Mon Mar 25 00:00:00 UTC 2024
      228K bytes
      1 views
     
  3. 1.4. Support Vector Machines — scikit-learn 1.4...

    sets the parameter C of class class_label to C * value . The figure...sets the parameter C for the i-th example to C * sample_weight[i]...
    scikit-learn.org/stable/modules/svm.html
    Wed Mar 27 16:42:11 UTC 2024
      103.3K bytes
      Cache
     
  4. sklearn.utils.Bunch — scikit-learn 1.4.1 docume...

    c = 6 >>> b [ 'c' ] 6 Methods clear ()...
    scikit-learn.org/stable/modules/generated/sklearn.utils.Bunch.html
    Wed Mar 27 16:42:11 UTC 2024
      30.2K bytes
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  5. 2.4. Biclustering — scikit-learn 1.4.1 document...

    as follows: \[A_n = R^{-1/2} A C^{-1/2}\] Where \(R\) is the diagonal...to \(\sum_{j} A_{ij}\) and \(C\) is the diagonal matrix with...
    scikit-learn.org/stable/modules/biclustering.html
    Wed Mar 27 16:42:11 UTC 2024
      32.7K bytes
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  6. sklearn.model_selection.permutation_test_score ...

    calculated as: (C + 1) / (n_permutations + 1) Where C is the number...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.permutation_test_score.html
    Wed Mar 27 16:42:11 UTC 2024
      29K bytes
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  7. install.rst.txt

    for instance:: C:\Users\username>C:\Users\username\AppD...><span>conda create -n sklearn-env -c conda-forge scikit-learn</span>...
    scikit-learn.org/stable/_sources/install.rst.txt
    Wed Mar 27 16:42:10 UTC 2024
      13.5K bytes
      1 views
     
  8. feature_selection.rst.txt

    the parameter C controls the sparsity: the smaller C the fewer features...(150, 4) >>> lsvc = LinearSVC(C=0.01, penalty="l1", dual=False).fit(X,...
    scikit-learn.org/stable/_sources/modules/feature_selection.rst.txt
    Wed Mar 27 16:42:11 UTC 2024
      14.3K bytes
      1 views
     
  9. 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
    Wed Mar 27 16:42:11 UTC 2024
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  10. model_evaluation.rst.txt

    math:: \frac{1}{c(c-1)}\sum_{j=1}^{c}\sum_{k > j}^c (\text{AUC}(j...math:: \frac{1}{c(c-1)}\sum_{j=1}^{c}\sum_{k > j}^c p(j \cup k)(...
    scikit-learn.org/stable/_sources/modules/model_evaluation.rst.txt
    Wed Mar 27 16:42:11 UTC 2024
      118.5K bytes
      2 views
     
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