Search Options

Results per page
Sort
Preferred Languages
Labels
Advance

Results 641 - 650 of 3,455 for 1 (0.21 sec)

  1. graphical_lasso — scikit-learn 1.6.0 documentation

    05 ) >>> emp_cov array([[ 1.68..., 0.21..., -0.20...], [ 0.21...,...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.graphical_lasso.html
    Fri Dec 20 11:14:16 UTC 2024
      113.8K bytes
      Cache
     
  2. Version 0.15 — scikit-learn 1.6.0 documentation

    Ben-Meshulam 1 Yury V. Zaytsev 1 adrinjalali 1 ai8rahim 1 alemagnani 1 alex...jamestwebber 1 matrixorz 1 popo 1 samuela 1 François Boulogne 1 Alexander...
    scikit-learn.org/stable/whats_new/v0.15.html
    Mon Dec 23 08:41:44 UTC 2024
      79.2K bytes
      Cache
      Similar Results (1)
     
  3. Logistic Regression 3-class Classifier — scikit...

    1 ], c = Y , edgecolors = "k" ,...
    scikit-learn.org/stable/auto_examples/linear_model/plot_iris_logistic.html
    Sun Dec 08 14:35:20 UTC 2024
      83.1K bytes
      Cache
     
  4. Selecting the number of clusters with silhouett...

    from -1, 1 but in this example all # lie within [-0.1, 1] ax1...set_xlim ([ - 0.1 , 1 ]) # The (n_clusters+1)*10 is for inserting...
    scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_silhouette_analysis.html
    Mon Dec 23 08:41:44 UTC 2024
      104.7K bytes
      Cache
     
  5. d2_absolute_error_score — scikit-learn 1.6.0 do...

    1 ], [ - 1 , 1 ], [ 7 , - 6 ]] >>> y_pred...User Guide . Added in version 1.1. Parameters : y_true array-like...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_absolute_error_score.html
    Mon Dec 23 08:41:44 UTC 2024
      113.5K bytes
      Cache
     
  6. API Reference — scikit-learn 1.6.0 documentation

    Scale each feature to the [-1, 1] range without breaking the...make_friedman1 Generate the “Friedman #1” regression problem. sklearn.datasets...
    scikit-learn.org/stable/api/index.html
    Mon Dec 23 08:41:44 UTC 2024
      524.2K bytes
      Cache
      Similar Results (1)
     
  7. Comparison of the K-Means and MiniBatchKMeans c...

    centers = [[ 1 , 1 ], [ - 1 , - 1 ], [ 1 , - 1 ]] n_clusters...ax = fig . add_subplot ( 1 , 3 , 1 ) for k , col in zip ( range...
    scikit-learn.org/stable/auto_examples/cluster/plot_mini_batch_kmeans.html
    Mon Dec 23 08:41:44 UTC 2024
      106.2K bytes
      Cache
     
  8. 6.4. Imputation of missing values — scikit-lear...

    array ([[ - 1 , - 1 , 1 , 3 ], ... [ 4 , - 1 , 0 , - 1 ], ... [...= sp . csc_matrix ([[ 1 , 2 ], [ 0 , - 1 ], [ 8 , 4 ]]) >>> imp...
    scikit-learn.org/stable/modules/impute.html
    Mon Dec 23 08:41:44 UTC 2024
      83.8K bytes
      Cache
     
  9. SVM Tie Breaking Example — scikit-learn 1.6.0 d...

    1 ] . min (), X [:, 1 ] . max ()] xs = np...xlim [ 1 ], 1000 ) ys = np . linspace ( ylim [ 0 ], ylim [ 1 ], 1000...
    scikit-learn.org/stable/auto_examples/svm/plot_svm_tie_breaking.html
    Mon Dec 23 08:41:44 UTC 2024
      95.1K bytes
      Cache
     
  10. Confusion matrix — scikit-learn 1.6.0 documenta...

    confusion matrix [[1. 0. 0. ] [0. 0.62 0.38] [0. 0. 1. ]] # Authors:...
    scikit-learn.org/stable/auto_examples/model_selection/plot_confusion_matrix.html
    Mon Dec 23 08:41:44 UTC 2024
      89.4K bytes
      Cache
     
Back to top