Search Options

Results per page
Sort
Preferred Languages
Labels
Advance

Results 191 - 200 of 402 for f (0.48 sec)

  1. API Reference — scikit-learn 1.7.0 documentation

    feature_selection f_classif Compute the ANOVA F-value for the provided...score, also known as balanced F-score or F-measure. sklearn.metrics...
    scikit-learn.org/stable/api/index.html
    Mon Jun 30 13:50:30 UTC 2025
      522.2K bytes
      Cache
     
  2. fbeta_score — scikit-learn 1.7.0 documentation

    [source] # Compute the F-beta score. The F-beta score is the weighted...precision. The formula for F-beta score is: \[F_\beta = \frac{(1 + \beta^2)...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.fbeta_score.html
    Mon Jun 30 13:50:30 UTC 2025
      121.1K bytes
      1 views
      Cache
     
  3. Illustration of prior and posterior Gaussian pr...

    label = f "Sampled function # { idx + 1...plt . tight_layout () print ( f "Kernel parameters before fit:...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_prior_posterior.html
    Mon Jun 30 13:50:30 UTC 2025
      135.7K bytes
      Cache
     
  4. Trump military parade live updates: D.C. onlook...

    Human Services Secretary Robert F. Kennedy Jr. Several House members,...
    www.nbcnews.com/politics/trump-administration/live-blog/trump-military-parade-protests-live-updat...
    Sun Jun 15 01:07:21 UTC 2025
      1.6M bytes
      Cache
     
  5. Feature agglomeration vs. univariate selection ...

    BayesianRidge f_regression = mem . cache ( feature_selection . f_regression...univariate_selection.f_regression... f_regression(array([[-0.451933,...
    scikit-learn.org/stable/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection....
    Mon Jun 30 13:50:29 UTC 2025
      112.4K bytes
      Cache
     
  6. Image denoising using dictionary learning — sci...

    axis = 0 ) print ( f " { data . shape [ 0 ] } patches...components_ dt = time () - t0 print ( f " { dico . n_iter_ } iterations...
    scikit-learn.org/stable/auto_examples/decomposition/plot_image_denoising.html
    Mon Jun 30 13:50:30 UTC 2025
      120.6K bytes
      Cache
     
  7. L1 Penalty and Sparsity in Logistic Regression ...

    * 100 print ( f "C= { C : .2f } " ) print ( f " { 'Sparsity with...sparsity_l1_LR : .2f } %" ) print ( f " { 'Sparsity with Elastic-Net...
    scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_l1_l2_sparsity.html
    Mon Jun 30 13:50:27 UTC 2025
      99.5K bytes
      Cache
     
  8. Scalable learning with polynomial kernel approx...

    annotate ( f "n_comp.= { n_components } " , ( results [ f "LSVM +..."score" : lsvm_score } print ( f "Linear SVM score on raw features:...
    scikit-learn.org/stable/auto_examples/kernel_approximation/plot_scalable_poly_kernels.html
    Mon Jun 30 13:50:30 UTC 2025
      115.5K bytes
      Cache
     
  9. Starling Flock Networks Manage Uncertainty in C...

    Cucker F, Mordecki E (2008) Flocking in...MIT Press. pp. 377–390. 28. Xue F, Kumar P (2004) The number of...
    journals.plos.org/ploscompbiol/article
    Sun Jun 22 00:56:56 UTC 2025
      188.3K bytes
      Cache
     
  10. Comparing Random Forests and Histogram Gradient...

    print ( f "The dataset consists of { n_samples...only_physical_cores = True ) print ( f "Number of physical cores: { N_CORES...
    scikit-learn.org/stable/auto_examples/ensemble/plot_forest_hist_grad_boosting_comparison.html
    Mon Jun 30 13:50:30 UTC 2025
      126.7K bytes
      Cache
     
Back to top