Search Options

Results per page
Sort
Preferred Languages
Labels
Advance

Results 1071 - 1080 of 1,555 for document (4.48 sec)

  1. Comparing Nearest Neighbors with and without Ne...

    An example comparing nearest neighbors classification with and without Neighborhood Components Analysis. It will plot the class decision boundaries given by a Nearest Neighbors classifier when usin...
    scikit-learn.org/stable/auto_examples/neighbors/plot_nca_classification.html
    Fri Aug 22 18:00:34 UTC 2025
      97.9K bytes
      Cache
     
  2. Detection error tradeoff (DET) curve — scikit-l...

    In this example, we compare two binary classification multi-threshold metrics: the Receiver Operating Characteristic (ROC) and the Detection Error Tradeoff (DET). For such purpose, we evaluate two ...
    scikit-learn.org/stable/auto_examples/model_selection/plot_det.html
    Fri Aug 22 18:00:32 UTC 2025
      101.8K bytes
      Cache
     
  3. make_hastie_10_2 — scikit-learn 1.7.1 documenta...

    Gallery examples: Gradient Boosting regularization Demonstration of multi-metric evaluation on cross_val_score and GridSearchCV
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_hastie_10_2.html
    Fri Aug 22 18:00:29 UTC 2025
      110.6K bytes
      1 views
      Cache
     
  4. Plotting Learning Curves and Checking Models’ S...

    In this example, we show how to use the class LearningCurveDisplay to easily plot learning curves. In addition, we give an interpretation to the learning curves obtained for a naive Bayes and SVM c...
    scikit-learn.org/stable/auto_examples/model_selection/plot_learning_curve.html
    Fri Aug 22 18:00:34 UTC 2025
      111.8K bytes
      1 views
      Cache
     
  5. inplace_csr_column_scale — scikit-learn 1.7.1 d...

    Skip to main content Back to top Ctrl + K GitHub Choose version inplace_csr_column_scale # sklearn.utils.sparsefuncs....
    scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_csr_column_scale.html
    Fri Aug 22 18:00:33 UTC 2025
      108.5K bytes
      Cache
     
  6. check_is_fitted — scikit-learn 1.7.1 documentation

    Gallery examples: Inductive Clustering__sklearn_is_fitted__ as Developer API Metadata Routing
    scikit-learn.org/stable/modules/generated/sklearn.utils.validation.check_is_fitted.html
    Thu Aug 21 16:13:27 UTC 2025
      112.8K bytes
      Cache
     
  7. Version 0.17 — scikit-learn 1.7.1 documentation

    Version 0.17.1: February 18, 2016 Changelog: Bug fixes: Upgrade vendored joblib to version 0.9.4 that fixes an important bug in joblib.Parallel that can silently yield to wrong results when working...
    scikit-learn.org/stable/whats_new/v0.17.html
    Thu Aug 21 16:13:31 UTC 2025
      89.1K bytes
      Cache
     
  8. 1. Supervised learning — scikit-learn 1.7.1 doc...

    Linear Models- Ordinary Least Squares, Ridge regression and classification, Lasso, Multi-task Lasso, Elastic-Net, Multi-task Elastic-Net, Least Angle Regression, LARS Lasso, Orthogonal Matching Pur...
    scikit-learn.org/stable/supervised_learning.html
    Fri Aug 22 18:00:29 UTC 2025
      46.9K bytes
      Cache
     
  9. Demo of HDBSCAN clustering algorithm — scikit-l...

    In this demo we will take a look at cluster.HDBSCAN from the perspective of generalizing the cluster.DBSCAN algorithm. We’ll compare both algorithms on specific datasets. Finally we’ll evaluate HDB...
    scikit-learn.org/stable/auto_examples/cluster/plot_hdbscan.html
    Fri Aug 22 18:00:29 UTC 2025
      128.9K bytes
      Cache
     
  10. Lasso on dense and sparse data — scikit-learn 1...

    We show that linear_model.Lasso provides the same results for dense and sparse data and that in the case of sparse data the speed is improved. Comparing the two Lasso implementations on Dense data:...
    scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_dense_vs_sparse_data.html
    Fri Aug 22 18:00:32 UTC 2025
      97.4K bytes
      Cache
     
Back to top