Search Options

Results per page
Sort
Preferred Languages
Labels
Advance

Results 31 - 40 of 230 for f (0.05 sec)

  1. StratifiedKFold — scikit-learn 1.5.0 documentation

    print ( f "Fold { i } :" ) ... print ( f " Train: index=...train_index } " ) ... print ( f " Test: index= { test_index }...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedKFold.html
    Fri May 31 14:06:06 UTC 2024
      129.9K bytes
      Cache
     
  2. learning_curve — scikit-learn 1.5.0 documentation

    print ( f " { train_size } samples were...train the model" ) ... print ( f "The average train accuracy is...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.learning_curve.html
    Fri May 31 14:06:04 UTC 2024
      128.3K bytes
      Cache
     
  3. How to easily add application monitoring in Kub...

    using kubectl: kubectl apply - f webhook - test.yaml The result...monitored: $ kubectl delete -f webhook-test.yaml pod "webhook-test"...
    www.elastic.co/observability-labs/blog/application-monitoring-kubernetes-pods
    Fri May 31 01:01:04 UTC 2024
      135.9K bytes
      Cache
     
  4. SelectKBest — scikit-learn 1.5.0 documentation

    See also f_classif ANOVA F-value between label/feature...for classification tasks. f_regression F-value between label/feature...
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectKBest.html
    Fri May 31 14:06:06 UTC 2024
      142.9K bytes
      Cache
     
  5. IsotonicRegression — scikit-learn 1.5.0 documen...

    the y = f(X) monotonic function. Added in version 0.24. f_ function...values used to interpolate the y = f(X) monotonic function. Added in...
    scikit-learn.org/stable/modules/generated/sklearn.isotonic.IsotonicRegression.html
    Fri May 31 14:06:04 UTC 2024
      162.7K bytes
      Cache
     
  6. 1.11. Ensembles: Gradient boosting, random fore...

    F(x_i))}{\partial F(x_i)} \right]_{F=F_{m - 1}}.\]...\frac{\partial l(y_i, F(x_i))}{\partial F(x_i)} \right]_{F=F_{m - 1}}\)...
    scikit-learn.org/stable/modules/ensemble.html
    Fri May 31 14:06:06 UTC 2024
      239.3K bytes
      Cache
     
  7. Hyperparameter — scikit-learn 1.5.0 documentation

    in sorted ( params ): print ( f " { key } : { params [ key ] }...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Hyperparameter.html
    Thu May 30 15:22:06 UTC 2024
      122.3K bytes
      Cache
     
  8. FactorAnalysis — scikit-learn 1.5.0 documentation

    F. Kaiser, 1958. Added in version...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.FactorAnalysis.html
    Fri May 31 14:06:06 UTC 2024
      145.3K bytes
      Cache
     
  9. roc_auc_score — scikit-learn 1.5.0 documentation

    F., Domingos, P. (2000). Well-trained...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html
    Fri May 31 14:06:04 UTC 2024
      135.7K bytes
      Cache
     
  10. SplineTransformer — scikit-learn 1.5.0 document...

    F’}, default=’C’ Order of output...output array in the dense case. 'F' order is faster to compute, but...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.SplineTransformer.html
    Fri May 31 14:06:04 UTC 2024
      147.8K bytes
      Cache
     
Back to top