Search Options

Results per page
Sort
Preferred Languages
Labels
Advance

Results 101 - 110 of 2,909 for 1 (0.1 sec)

  1. 1.1. Linear Models — scikit-learn 1.6.1 documen...

    1.e-05, 1.e-04, 1.e-03, 1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02,...) . 1.1.2. Ridge regression and classification # 1.1.2.1. Regression...
    scikit-learn.org/stable/modules/linear_model.html
    Tue Jun 03 08:44:27 UTC 2025
      218.9K bytes
      Cache
     
  2. mean_absolute_percentage_error — scikit-learn 1...

    1 ], [ - 1 , 1 ], [ 7 , - 6 ]] >>> y_pred...y_true = [ 1. , 0. , 2.4 , 7. ] >>> y_pred = [ 1.2 , 0.1 , 2.4 ,...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_percentage_error.html
    Tue Jun 03 08:44:28 UTC 2025
      113.1K bytes
      Cache
     
  3. 3.4. Metrics and scoring: quantifying the quali...

    1 , 1 , 1 , 1 , 1 ] >>> y_pred = [ 0 , 1 , 0 , 1 , 0 ,..., 0 , 1 , 1 , 1 , 1 , 1 ] >>> y_pred = [ 0 , 1 , 0 , 1 , 0 ,...
    scikit-learn.org/stable/modules/model_evaluation.html
    Tue Jun 03 08:44:28 UTC 2025
      410.3K bytes
      Cache
     
  4. Release Highlights for scikit-learn 1.6 — sciki...

    1 , 6 , np . nan ]) . reshape ( - 1 , 1 ) y = [ 0 ,..., 0 , 1 , 1 ] forest = ExtraTreesClassifier ( random_state =...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_6_0.html
    Tue Jun 03 08:44:27 UTC 2025
      110.4K bytes
      Cache
     
  5. LabelEncoder — scikit-learn 1.6.1 documentation

    classes_ array([1, 2, 6]) >>> le . transform ([ 1 , 1 , 2 , 6 ]) array([0,...array([0, 0, 1, 2]...) >>> le . inverse_transform ([ 0 , 0 , 1 , 2 ])...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html
    Tue Jun 03 08:44:28 UTC 2025
      123.6K bytes
      Cache
     
  6. BallTree — scikit-learn 1.6.1 documentation

    query ( X [: 1 ], k = 3 ) >>> print ( ind ) #...indices of 3 closest neighbors [0 3 1] >>> print ( dist ) # distances...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.BallTree.html
    Tue Jun 03 08:44:28 UTC 2025
      136.1K bytes
      Cache
      Similar Results (1)
     
  7. PassiveAggressiveRegressor — scikit-learn 1.6.1...

    default=1.0 Maximum step size (regularization). Defaults to 1.0. fit_intercept...PassiveAggressiveReg ( * , C = 1.0 , fit_intercept = True , max_iter...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveRegressor.html
    Tue Jun 03 08:44:28 UTC 2025
      155K bytes
      Cache
     
  8. dbscan — scikit-learn 1.6.1 documentation

    1, 2, 3, 4]) >>> labels array([ 0, 0, 0, 1, 1, -1]) On this...means 1 unless in a joblib.parallel_backend context. -1 means...
    scikit-learn.org/stable/modules/generated/dbscan-function.html
    Tue Jun 03 08:44:27 UTC 2025
      116.1K bytes
      Cache
     
  9. ExtraTreeRegressor — scikit-learn 1.6.1 documen...

    min_samples_leaf = 1 , min_weight_fraction_leaf = 0.0 , max_features = 1.0 ,...max_features=n_features . Changed in version 1.1: The default of max_features...
    scikit-learn.org/stable/modules/generated/sklearn.tree.ExtraTreeRegressor.html
    Tue Jun 03 08:44:27 UTC 2025
      163.2K bytes
      Cache
     
  10. 1.10. Decision Trees — scikit-learn 1.6.1 docum...

    1 , 2 , 3 ]) . reshape ( - 1 , 1 ) >>> y = [ 0 , 1 , 1 , 1.... nan , - 1 , np . nan , 1 ]) . reshape ( - 1 , 1 ) >>> y = [...
    scikit-learn.org/stable/modules/tree.html
    Tue Jun 03 08:44:28 UTC 2025
      93.7K bytes
      Cache
     
Back to top