Search Options

Results per page
Sort
Preferred Languages
Labels
Advance

Results 61 - 70 of 3,458 for 1 (0.12 sec)

  1. KNeighborsRegressor — scikit-learn 1.5.0 docume...

    () array([[1., 0., 1.], [0., 1., 1.], [1., 0., 1.]]) predict...bors=1) >>> print ( neigh . kneighbors ([[ 1. , 1. , 1. ]]))...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsRegressor.html
    Tue Jun 11 18:07:58 UTC 2024
      157.3K bytes
      Cache
     
  2. OPTICS — scikit-learn 1.5.0 documentation

    1, 1, 1]) For a more detailed example...min_samples int > 1 or float between 0 and 1, default=5 The number...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.OPTICS.html
    Tue Jun 11 18:07:58 UTC 2024
      140.9K bytes
      Cache
     
  3. SGDClassifier — scikit-learn 1.5.0 documentation

    array ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ 1 , 1 ], [ 2 , 1 ]]) >>>...(clip(decision_function(X), -1, 1) + 1) / 2. For other loss functions...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDClassifier.html
    Tue Jun 11 18:07:59 UTC 2024
      190.7K bytes
      Cache
     
  4. NearestCentroid — scikit-learn 1.5.0 documentation

    ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...2 , 1 ], [ 3 , 2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html
    Tue Jun 11 18:07:58 UTC 2024
      135.7K bytes
      Cache
     
  5. KBinsDiscretizer — scikit-learn 1.5.0 documenta...

    [ 1., 1., 1., 0.], [ 2., 2., 2., 1.], [ 2., 2., 2.,...>>> X = [[ - 2 , 1 , - 4 , - 1 ], ... [ - 1 , 2 , - 3 , - 0.5...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.KBinsDiscretizer.html
    Tue Jun 11 18:07:59 UTC 2024
      156.7K bytes
      Cache
     
  6. NuSVR — scikit-learn 1.5.0 documentation

    Added in version 1.1. n_support_ ndarray of shape (1,), dtype=int32...(0, 1]. By default 0.5 will be taken. C float, default=1.0 Penalty...
    scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVR.html
    Mon Jun 10 22:40:13 UTC 2024
      150.1K bytes
      Cache
     
  7. DecisionTreeClassifier — scikit-learn 1.5.0 doc...

    [{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...instead of [{1:1}, {2:5}, {3:1}, {4:1}]. The “balanced” mode uses...
    scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeClassifier.html
    Tue Jun 11 18:07:59 UTC 2024
      191.9K bytes
      Cache
     
  8. AffinityPropagation — scikit-learn 1.5.0 docume...

    array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2.... labels_ array([0, 0, 0, 1, 1, 1]) >>> clustering . predict...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.AffinityPropagation.html
    Tue Jun 11 18:07:58 UTC 2024
      136.2K bytes
      1 views
      Cache
     
  9. PolynomialCountSketch — scikit-learn 1.5.0 docu...

    [ 1 , 1 ], [ 1 , 0 ], [ 0 , 1 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>>...Array with random entries in {+1, -1}, used to represent the 2-wise...
    scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.PolynomialCountSketch.html
    Tue Jun 11 18:07:58 UTC 2024
      139.5K bytes
      1 views
      Cache
     
  10. LogisticRegressionCV — scikit-learn 1.5.0 docum...

    means 1 unless in a joblib.parallel_backend context. -1 means...version 1.5: multi_class was deprecated in version 1.5 and will...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegressionCV.html
    Tue Jun 11 18:07:59 UTC 2024
      172.2K bytes
      Cache
     
Back to top