Search Options

Display Count
Sort
Preferred Language
Label
Advanced Search

Popular Words: 機能 pro d url xml demo mit top cisco test

Results 921 - 930 of 3,423 for document (0.69 seconds)

  1. Gaussian Mixture Model Selection — scikit...

    Documentation for GridSearchCV i Fitted...s=2) GaussianMixture ? Documentation for GaussianMixture Parameters...
    scikit-learn.org/stable/auto_examples/mixture/plot_gmm_selection.html
    Fri Dec 05 17:52:54 GMT 2025
      138.5K bytes
      Cache
     
  2. Principal Component Analysis (PCA) on Iris Data...

    This example shows a well known decomposition technique known as Principal Component Analysis (PCA) on the Iris dataset. This dataset is made of 4 features: sepal length, sepal width, petal length,...
    scikit-learn.org/stable/auto_examples/decomposition/plot_pca_iris.html
    Fri Dec 05 17:52:55 GMT 2025
      93.3K bytes
      Cache
     
  3. Probabilistic predictions with Gaussian process...

    This example illustrates the predicted probability of GPC for an RBF kernel with different choices of the hyperparameters. The first figure shows the predicted probability of GPC with arbitrarily c...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc.html
    Fri Dec 05 17:52:54 GMT 2025
      110.7K bytes
      Cache
     
  4. Nested versus non-nested cross-validation &#821...

    This example compares non-nested and nested cross-validation strategies on a classifier of the iris data set. Nested cross-validation (CV) is often used to train a model in which hyperparameters al...
    scikit-learn.org/stable/auto_examples/model_selection/plot_nested_cross_validation_iris.html
    Fri Dec 05 17:52:54 GMT 2025
      102.2K bytes
      Cache
     
  5. Imputing missing values before building an esti...

    Missing values can be replaced by the mean, the median or the most frequent value using the basic SimpleImputer. In this example we will investigate different imputation techniques: imputation by t...
    scikit-learn.org/stable/auto_examples/impute/plot_missing_values.html
    Fri Dec 05 17:52:54 GMT 2025
      121.1K bytes
      Cache
     
  6. 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 Dec 05 17:52:55 GMT 2025
      111.8K bytes
      Cache
     
  7. Outlier detection with Local Outlier Factor (LO...

    The Local Outlier Factor (LOF) algorithm is an unsupervised anomaly detection method which computes the local density deviation of a given data point with respect to its neighbors. It considers as ...
    scikit-learn.org/stable/auto_examples/neighbors/plot_lof_outlier_detection.html
    Fri Dec 05 17:52:55 GMT 2025
      98.5K bytes
      Cache
     
  8. Plot different SVM classifiers in the iris data...

    Comparison of different linear SVM classifiers on a 2D projection of the iris dataset. We only consider the first 2 features of this dataset: Sepal length, Sepal width. This example shows how to pl...
    scikit-learn.org/stable/auto_examples/svm/plot_iris_svc.html
    Fri Dec 05 17:52:55 GMT 2025
      92.7K bytes
      Cache
     
  9. 9.2. Computational Performance — scikit-l...

    Scipy’s sparse matrix formats documentation for more information on...beyond the scope of this documentation though. 9.2.3. Tips and...
    scikit-learn.org/stable/computing/computational_performance.html
    Fri Dec 05 17:52:54 GMT 2025
      60.9K bytes
      Cache
     
  10. 8.19.4 release notes | Enterprise Search docume...

    notes IMPORTANT : This documentation is no longer updated. Refer...version policy and the latest documentation . 8.19.4 release notes No...
    www.elastic.co/guide/en/enterprise-search/8.19/release-notes-8.19.4.html
    Mon Oct 20 16:31:47 GMT 2025
      10.9K bytes
      Cache
     
Back to Top