Search Options

Results per page
Sort
Preferred Languages
Labels
Advance

Results 231 - 240 of 388 for f (0.07 sec)

  1. A demo of structured Ward hierarchical clusteri...

    print ( f "Number of pixels: { label . size } " ) print ( f "Number...rescaled_coins . shape ) print ( f "Elapsed time: { time . time ()...
    scikit-learn.org/stable/auto_examples/cluster/plot_coin_ward_segmentation.html
    Fri Apr 25 09:06:52 UTC 2025
      94.1K bytes
      Cache
     
  2. LeavePOut — scikit-learn 1.6.1 documentation

    print ( f "Fold { i } :" ) ... print ( f " Train: index=...train_index } " ) ... print ( f " Test: index= { test_index }...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePOut.html
    Fri Apr 25 09:06:53 UTC 2025
      116.8K bytes
      Cache
     
  3. 2カ月でクビ、発表した時から「ヤバイにおいがする」不安視 - いまトピランキング

    サッカーJ1の横浜・マリノスは4月18日に、就任1年目のスティーブ・ホーランド...は報じている。 学習能力なし…2カ月で監督をクビにした横浜・マリノスに「オーストラリアの呪縛」 | アサ芸プラス 編集者:いまトピ編集部...
    news.goo.ne.jp/iw/267437/2カ月でクビ、発表した時から「ヤバイにおいがする」不安視
    Wed Apr 23 00:41:09 UTC 2025
      44.5K bytes
      Cache
     
  4. Receiver Operating Characteristic (ROC) with cr...

    name = f "ROC fold { fold } " , alpha =..."True Positive Rate" , title = f "Mean ROC curve with variability...
    scikit-learn.org/stable/auto_examples/model_selection/plot_roc_crossval.html
    Fri Apr 25 09:06:53 UTC 2025
      101.2K bytes
      Cache
     
  5. Bisecting K-Means and Regular K-Means Performan...

    set_title ( f " { algorithm_name } : { n_clusters...
    scikit-learn.org/stable/auto_examples/cluster/plot_bisect_kmeans.html
    Fri Apr 25 09:06:51 UTC 2025
      90.3K bytes
      Cache
     
  6. Label Propagation digits active learning — scik...

    n_total_samples )[ n_labeled_points :] f = plt . figure () for i in range...only on the first 5 if i < 5 : f . text ( 0.05 , ( 1 - ( i + 1...
    scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_digits_active_learni...
    Fri Apr 25 09:06:51 UTC 2025
      109.2K bytes
      Cache
     
  7. Feature discretization — scikit-learn 1.6.1 doc...

    enumerate ( datasets ): print ( f " \n dataset { ds_cnt } \n ---------"...score ( X_test , y_test ) print ( f " { name } : { score : .2f } "...
    scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_classification.html
    Fri Apr 25 09:06:51 UTC 2025
      128K bytes
      Cache
     
  8. 7.2. Real world datasets — scikit-learn 1.6.1 d...

    classifiers achieve very high F-scores, but their results would...to train and achieves a decent F-score: >>> from sklearn.naive_bayes...
    scikit-learn.org/stable/datasets/real_world.html
    Fri Apr 25 09:06:51 UTC 2025
      99.5K bytes
      Cache
     
  9. One-Class SVM versus One-Class SVM using Stocha...

    xlabel = ( f "error train: { n_error_train...{ X_train . shape [ 0 ] } ; " f "errors novel regular: { n_error_test...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgdocsvm_vs_ocsvm.html
    Fri Apr 25 09:06:52 UTC 2025
      122.5K bytes
      1 views
      Cache
     
  10. One-class SVM with non-linear kernel (RBF) — sc...

    set ( xlabel = ( f "error train: { n_error_train...regular: { n_error_test } /40 ;" f " errors novel abnormal: { n_error_outliers...
    scikit-learn.org/stable/auto_examples/svm/plot_oneclass.html
    Fri Apr 25 09:06:52 UTC 2025
      100.8K bytes
      Cache
     
Back to top