Search Options

Results per page
Sort
Preferred Languages
Labels
Advance

Results 961 - 970 of 3,770 for 1 (0.16 sec)

  1. inplace_csr_column_scale — scikit-learn 1.7.1 d...

    1 , 2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2 , 5 ])...csr . todense () matrix([[8, 1, 2], [0, 0, 5], [0, 0, 0], [0,...
    scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_csr_column_scale.html
    Sat Sep 06 21:55:15 UTC 2025
      108.5K bytes
      Cache
     
  2. euclidean_distances — scikit-learn 1.7.1 docume...

    1 ], [ 1 , 1 ]] >>> # distance between...(n_samples_Y,) or (n_samples_Y, 1) or (1, n_samples_Y), default=None...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.euclidean_distances.html
    Sat Sep 06 21:55:16 UTC 2025
      111.5K bytes
      Cache
     
  3. Gradient Boosting regularization — scikit-learn...

    random_state = 1 ) # map labels from {-1, 1} to {0, 1} labels , y...{ "learning_rate" : 1.0 , "subsample" : 1.0 }), ( "learning_rate=0.2"...
    scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regularization.html
    Sat Sep 06 21:55:16 UTC 2025
      96.3K bytes
      Cache
     
  4. paired_distances — scikit-learn 1.7.1 documenta...

    1 ], [ 1 , 1 ]] >>> Y = [[ 0 , 1 ], [ 2 , 1 ]] >>> paired_distances...distances between (X[0], Y[0]), (X[1], Y[1]), etc… Read more in the User...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.paired_distances.html
    Sat Sep 06 21:55:15 UTC 2025
      108.2K bytes
      Cache
     
  5. Wikipedia principal eigenvector — scikit-learn ...

    1 )[ 1 ] page_links_url = "http:/...page_links_url . rsplit ( "/" , 1 )[ 1 ] resources = [ ( redirects_url...
    scikit-learn.org/stable/auto_examples/applications/wikipedia_principal_eigenvector.html
    Sat Sep 06 21:55:16 UTC 2025
      118.9K bytes
      Cache
     
  6. check_symmetric — scikit-learn 1.7.1 documentation

    1 , 2 ], [ 1 , 0 , 1 ], [ 2 , 1 , 0 ]]) >>> check_symmetric...symmetric_array ) array([[0, 1, 2], [1, 0, 1], [2, 1, 0]]) >>> from scipy.sparse...
    scikit-learn.org/stable/modules/generated/sklearn.utils.validation.check_symmetric.html
    Sat Sep 06 21:55:15 UTC 2025
      108.4K bytes
      Cache
     
  7. Comparing Nearest Neighbors with and without Ne...

    StandardScaler n_neighbors = 1 dataset = datasets . load_iris.... scatter ( X [:, 0 ], X [:, 1 ], c = y , cmap = cmap_bold ,...
    scikit-learn.org/stable/auto_examples/neighbors/plot_nca_classification.html
    Sat Sep 06 21:55:17 UTC 2025
      97.9K bytes
      Cache
     
  8. dict_learning — scikit-learn 1.7.1 documentation

    * || U || _1 , 1 ( U , V ) with || V_k || _2 = 1 for all 0 <=...the Frobenius norm and ||.||_1,1 stands for the entry-wise matrix...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.dict_learning.html
    Sat Sep 06 21:55:15 UTC 2025
      120.1K bytes
      Cache
     
  9. Probability Calibration curves — scikit-learn 1...

    1 ), ( 3 , 0 ), ( 3 , 1 )] for i , ( _ , name...calibrated_df , 0 , 1 ) proba_neg_class = 1 - proba_pos_class proba...
    scikit-learn.org/stable/auto_examples/calibration/plot_calibration_curve.html
    Sat Sep 06 21:55:17 UTC 2025
      143.5K bytes
      Cache
     
  10. Compare BIRCH and MiniBatchKMeans — scikit-lear...

    threshold = 1.7 , n_clusters = None ), Birch ( threshold = 1.7 , n_clusters...= fig . add_subplot ( 1 , 3 , ind + 1 ) for this_centroid , k...
    scikit-learn.org/stable/auto_examples/cluster/plot_birch_vs_minibatchkmeans.html
    Sat Sep 06 21:55:16 UTC 2025
      105K bytes
      Cache
     
Back to top