Search Options

Results per page
Sort
Preferred Languages
Labels
Advance

Results 921 - 930 of 1,745 for document (2.01 sec)

  1. Demonstration of k-means assumptions — scikit-l...

    the example Clustering text documents using k-means ). In the case...
    scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_assumptions.html
    Fri Oct 10 15:14:36 UTC 2025
      115.6K bytes
      Cache
     
  2. Support Vector Regression (SVR) using linear an...

    Toy example of 1D regression using linear, polynomial and RBF kernels. Generate sample data: Fit regression model: Look at the results: Total running time of the script:(0 minutes 5.541 seconds) La...
    scikit-learn.org/stable/auto_examples/svm/plot_svm_regression.html
    Fri Oct 10 15:14:36 UTC 2025
      97.7K bytes
      Cache
     
  3. Version 0.24 — scikit-learn 1.7.2 documentation

    previously didn’t work as documented – or according to reasonable...by Nathan C. . Code and documentation contributors Thanks to everyone...
    scikit-learn.org/stable/whats_new/v0.24.html
    Tue Oct 07 17:07:16 UTC 2025
      205.5K bytes
      Cache
     
  4. inplace_csr_column_scale — scikit-learn 1.7.2 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
    Thu Oct 09 16:57:49 UTC 2025
      108.5K bytes
      Cache
     
  5. Comparing different hierarchical linkage method...

    This example shows characteristics of different linkage methods for hierarchical clustering on datasets that are “interesting” but still in 2D. The main observations to make are: single linkage is ...
    scikit-learn.org/stable/auto_examples/cluster/plot_linkage_comparison.html
    Fri Oct 10 15:14:33 UTC 2025
      109.9K 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 Oct 10 15:14:36 UTC 2025
      111.8K bytes
      1 views
      Cache
     
  7. make_hastie_10_2 — scikit-learn 1.7.2 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 Oct 10 15:14:36 UTC 2025
      110.6K bytes
      1 views
      Cache
     
  8. 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 Oct 10 15:14:33 UTC 2025
      97.9K bytes
      Cache
     
  9. 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 Oct 10 15:14:33 UTC 2025
      101.8K bytes
      Cache
     
  10. Building a RAG System With Gemma, Hugging Face ...

    Document chunking Document chunking in RAG refers...split this one document into three documents (three different...
    www.elastic.co/search-labs/blog/building-a-rag-system-with-gemma-hugging-face-elasticsearch
    Wed Sep 24 00:57:01 UTC 2025
      187.5K bytes
      Cache
     
Back to top