Search Options

Display Count
Sort
Preferred Language
Label
Advanced Search

Results 181 - 190 of over 10,000 for 1 (0.23 seconds)

  1. log_loss — scikit-learn 1.7.2 documentation

    p) = -(y \log (p) + (1 - y) \log (1 - p))\] Read more in the..."spam" ], ... [[ .1 , .9 ], [ .9 , .1 ], [ .8 , .2 ], [ .35...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.log_loss.html
    Mon Nov 24 11:23:20 GMT 2025
      115.7K bytes
      Cache
     
  2. 1.13. Feature selection — scikit-learn 1....

    1], [1, 0], [0, 0], [1, 1], [1, 0], [1, 1]]) As expected,...0 , 0 , 1 ], [ 0 , 1 , 0 ], [ 1 , 0 , 0 ], [ 0 , 1 , 1 ], [ 0...
    scikit-learn.org/stable/modules/feature_selection.html
    Mon Nov 24 07:36:00 GMT 2025
      73.8K bytes
      Cache
     
  3. 8.1. Toy datasets — scikit-learn 1.7.2 do...

    length: 1.0 6.9 3.76 1.76 0.9490 (high!) petal width: 0.1 2.5 1.20...0.41 3.58 1.59 0.57 Colour Intensity: 1.3 13.0 5.1 2.3 Hue: 0.48...
    scikit-learn.org/stable/datasets/toy_dataset.html
    Mon Nov 24 10:40:49 GMT 2025
      63.3K bytes
      Cache
     
  4. available_if — scikit-learn 1.7.2 documen...

    >>> obj = HelloIfEven ( 1 ) >>> hasattr ( obj ,...
    scikit-learn.org/stable/modules/generated/sklearn.utils.metaestimators.available_if.html
    Sun Nov 23 04:34:55 GMT 2025
      109K bytes
      Cache
     
  5. make_circles — scikit-learn 1.7.2 documen...

    int64(1), np.int64(1), np.int64(1), np.int64(0), np.int64(0)]...outer circle in the range [0, 1) . Returns : X ndarray of shape...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_circles.html
    Mon Nov 24 12:29:41 GMT 2025
      116.2K bytes
      Cache
     
  6. BayesianGaussianMixture — scikit-learn 1....

    array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], [ 4 , 2 ], [...mixtures”. Bayesian analysis 1.1 Examples >>> import...
    scikit-learn.org/stable/modules/generated/sklearn.mixture.BayesianGaussianMixture.html
    Mon Nov 24 12:29:38 GMT 2025
      152.9K bytes
      Cache
     
  7. RobustScaler — scikit-learn 1.7.2 documen...

    [[ 1. , - 2. , 2. ], ... [ - 2. , 1. , 3. ], ... [ 4. , 1. ,..., -2. , 0. ], [-1. , 0. , 0.4], [ 1. , 0. , -1.6]]) fit ( X ,...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.RobustScaler.html
    Mon Nov 24 11:06:38 GMT 2025
      135.8K bytes
      Cache
     
  8. 1.11. Ensembles: Gradient boosting, random fore...

    Gradient Boosting models 1.11.1.1.1. Usage # Most of the parameters...= [[ 1 , 0 ], ... [ 1 , 0 ], ... [ 1 , 0 ], ... [ 0 , 1 ]] >>>...
    scikit-learn.org/stable/modules/ensemble.html
    Mon Nov 24 07:36:04 GMT 2025
      229.2K bytes
      Cache
     
  9. OutputCodeClassifier — scikit-learn 1.7.2...

    means 1 unless in a joblib.parallel_backend context. -1 means...( estimator , * , code_size = 1.5 , random_state = None , n_jobs...
    scikit-learn.org/stable/modules/generated/sklearn.multiclass.OutputCodeClassifier.html
    Fri Nov 21 04:27:30 GMT 2025
      132.1K bytes
      Cache
     
  10. quantile_transform — scikit-learn 1.7.2 d...

    otherwise (if 1) transform each sample. n_quantiles...subsample=None . Added in version 1.5: The option None to disable...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.quantile_transform.html
    Mon Nov 24 12:29:38 GMT 2025
      117K bytes
      Cache
     
Back to Top