Search Options

Results per page
Sort
Preferred Languages
Labels
Advance

Results 951 - 960 of 2,283 for 2 (0.09 sec)

  1. DistanceMetric — scikit-learn 1.7.0 documentation

    HaversineDistance 2 arcsin(sqrt(sin^2(0.5*dx) + cos(x1)cos(x2)sin^2(0.5*dy)))...'euclidean' ) >>> X = [[ 1 , 2 ], [ 3 , 4 ], [ 5 , 6 ]] >>> Y...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.DistanceMetric.html
    Fri Jun 06 09:13:47 UTC 2025
      116.2K bytes
      Cache
     
  2. webpack-0a8df6c458de0830.js

    length;i>0&&e[i-1][2]>a;i--)e[i]=e[i-1];e[i]=[o,n,a];return}for(var...i={};e=e||[null,t({}),t([]),t(t)];for(var u=2&n&&o;"object"==typeof u&&!~e....
    www.elastic.co/events/elasticon/_next/static/chunks/webpack-0a8df6c458de0830.js
    Mon May 12 23:16:01 UTC 2025
      3.4K bytes
      Similar Results (1)
     
  3. isotonic_regression — scikit-learn 1.7.0 docume...

    2 , 8 , 10 , 7 , 9 , 6 , 4 ]) array([2.75 , 2.75 , 2.75 ,..., 2.75 , 7.33, 7.33, 7.33, 7.33, 7.33, 7.33]) On this page This...
    scikit-learn.org/stable/modules/generated/sklearn.isotonic.isotonic_regression.html
    Fri Jun 06 09:13:47 UTC 2025
      107.7K bytes
      Cache
     
  4. inplace_csr_column_scale — scikit-learn 1.7.0 d...

    2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2 , 5 ]) >>>...>>> scale = np . array ([ 2 , 3 , 2 ]) >>> csr = sparse . csr_matrix...
    scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_csr_column_scale.html
    Fri Jun 06 09:13:46 UTC 2025
      108.5K bytes
      Cache
     
  5. ranking_ad.min.css

    #gooad-badge300_2 { min-height: 250px; margin: 0...text-align: center; } /* ダブレク親1~2 */ [id^="gooad-wrec"] { min-height:...
    adcdn.goo.ne.jp/images/0common/ranking_ad.min.css
    Wed Jun 28 01:45:35 UTC 2023
      3.1K bytes
     
  6. Gaussian Mixture Model Ellipsoids — scikit-lear...

    eigh ( covar ) v = 2.0 * np . sqrt ( 2.0 ) * np . sqrt ( v )...n_samples , 2 ), C ), 0.7 * np . random . randn ( n_samples , 2 ) + np...
    scikit-learn.org/stable/auto_examples/mixture/plot_gmm.html
    Fri Jun 06 09:13:47 UTC 2025
      100.1K bytes
      Cache
     
  7. plot_multi_metric_evaluation.py

    range(2, 403, 20)}, scoring=scoring, refit="AUC", n_jobs=2, re...sklearn.datasets import make_hastie_10_2 from sklearn.metrics import accuracy_score,...
    scikit-learn.org/stable/_downloads/dedbcc9464f3269f4f012f4bfc7d16da/plot_multi_metric_evaluation.py
    Fri Jun 06 09:13:47 UTC 2025
      3.6K bytes
     
  8. Two-class AdaBoost — scikit-learn 1.7.0 documen...

    cov = 2.0 , n_samples = 200 , n_features = 2 , n_classes = 2 , random_state...= 300 , n_features = 2 , n_classes = 2 , random_state = 1 ) X...
    scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_twoclass.html
    Fri Jun 06 09:13:47 UTC 2025
      102K bytes
      Cache
     
  9. TransformedTargetRegressor — scikit-learn 1.7.0...

    float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...The function needs to return a 2-dimensional array. inverse_func...
    scikit-learn.org/stable/modules/generated/sklearn.compose.TransformedTargetRegressor.html
    Fri Jun 06 09:13:47 UTC 2025
      143.2K bytes
      Cache
     
  10. Plot randomly generated multilabel dataset — sc...

    1500 * p_c ** 2 , color = COLORS . take ([ 1 , 2 , 4 ]), ) ax...means the class is present: 1 2 3 Color Y N N Red N Y N Blue N...
    scikit-learn.org/stable/auto_examples/datasets/plot_random_multilabel_dataset.html
    Fri Jun 06 09:13:47 UTC 2025
      97.1K bytes
      Cache
     
Back to top