Search Options

Results per page
Sort
Preferred Languages
Labels
Advance

Results 741 - 750 of 1,549 for document (0.4 sec)

  1. robust_scale — scikit-learn 1.7.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version robust_scale # sklearn.preprocessing. robust_scale ( ...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.robust_scale.html
    Sat Aug 23 16:32:03 UTC 2025
      112.9K bytes
      Cache
     
  2. make_union — scikit-learn 1.7.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version make_union # sklearn.pipeline. make_union ( * transfo...
    scikit-learn.org/stable/modules/generated/sklearn.pipeline.make_union.html
    Sat Aug 23 16:32:03 UTC 2025
      108.9K bytes
      Cache
     
  3. load_wine — scikit-learn 1.7.1 documentation

    Gallery examples: Outlier detection on a real data set ROC Curve with Visualization API Importance of Feature Scaling
    scikit-learn.org/stable/modules/generated/sklearn.datasets.load_wine.html
    Sat Aug 23 16:32:04 UTC 2025
      112.5K bytes
      Cache
     
  4. orthogonal_mp — scikit-learn 1.7.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version orthogonal_mp # sklearn.linear_model. orthogonal_mp (...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.orthogonal_mp.html
    Sat Aug 23 16:32:03 UTC 2025
      112.3K bytes
      1 views
      Cache
     
  5. dict_learning — scikit-learn 1.7.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version dict_learning # sklearn.decomposition. dict_learning ...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.dict_learning.html
    Sat Aug 23 16:32:03 UTC 2025
      120.1K bytes
      Cache
     
  6. enet_path — scikit-learn 1.7.1 documentation

    Gallery examples: Lasso, Lasso-LARS, and Elastic Net paths
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.enet_path.html
    Sat Aug 23 16:32:04 UTC 2025
      120K bytes
      Cache
     
  7. sklearn.frozen — scikit-learn 1.7.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version sklearn.frozen # FrozenEstimator Estimator that wraps...
    scikit-learn.org/stable/api/sklearn.frozen.html
    Sat Aug 23 16:32:03 UTC 2025
      113.5K bytes
      Cache
     
  8. sklearn.tree — scikit-learn 1.7.1 documentation

    Decision tree based models for classification and regression. User guide. See the Decision Trees section for further details. Exporting: Plotting:
    scikit-learn.org/stable/api/sklearn.tree.html
    Sat Aug 23 16:32:03 UTC 2025
      116.9K bytes
      Cache
     
  9. Factor Analysis (with rotation) to visualize pa...

    Investigating the Iris dataset, we see that sepal length, petal length and petal width are highly correlated. Sepal width is less redundant. Matrix decomposition techniques can uncover these latent...
    scikit-learn.org/stable/auto_examples/decomposition/plot_varimax_fa.html
    Sat Aug 23 16:32:03 UTC 2025
      96.1K bytes
      Cache
     
  10. Comparison of LDA and PCA 2D projection of Iris...

    The Iris dataset represents 3 kind of Iris flowers (Setosa, Versicolour and Virginica) with 4 attributes: sepal length, sepal width, petal length and petal width. Principal Component Analysis (PCA)...
    scikit-learn.org/stable/auto_examples/decomposition/plot_pca_vs_lda.html
    Sat Aug 23 16:32:04 UTC 2025
      92.9K bytes
      Cache
     
Back to top