Search Options

Results per page
Sort
Preferred Languages
Labels
Advance

Results 211 - 220 of 1,971 for = (0.17 sec)

  1. harbor lastadoc

    WithdrawalReason {SIT=SIT, PRD=PRD, FRT=FRT, OTH=OTH} 2 reasonInput...CDef.WithdrawalReason {SIT=SIT, PRD=PRD, FRT=FRT, OTH=OTH} 2 reasonInput...
    dbflute.seasar.org/ja/data/doc/harbor/lastadoc-harbor.html
    Mon Sep 15 10:51:15 UTC 2025
      90.1K bytes
      Cache
     
  2. Visualizations with Display Objects — scikit-le...

    y = fetch_openml ( data_id = 1464 , return_X_y = True )...y_test = train_test_split ( X , y , stratify = y ) clf = make_pipeline...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_display_object_visualization.html
    Sun Oct 12 02:56:17 UTC 2025
      126.6K bytes
      Cache
     
  3. MultinomialNB — scikit-learn 1.7.2 documentation

    alpha = 1.0 , force_alpha = True , fit_prior = True , class_prior...parameter (set alpha=0 and force_alpha=True, for no smoothing)....
    scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html
    Sun Oct 12 02:56:14 UTC 2025
      151.8K bytes
      Cache
     
  4. fetch_20newsgroups — scikit-learn 1.7.2 documen...

    download_if_missing = True , return_X_y = False , n_retries = 3 , delay = 1.0...data_home = None , subset = 'train' , categories = None , shuffle...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups.html
    Sun Oct 12 02:56:14 UTC 2025
      119.5K bytes
      Cache
     
  5. pairwise_distances_chunked — scikit-learn 1.7.2...

    Y = None , * , reduce_func = None , metric = 'euclidean'...'euclidean' , n_jobs = None , working_memory = None , ** kwds ) [source]...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances_chunked.html
    Sun Oct 12 02:56:14 UTC 2025
      118K bytes
      Cache
     
  6. minmax_scale — scikit-learn 1.7.2 documentation

    feature_range = (0, 1) , * , axis = 0 , copy = True ) [source]...by (when axis=0 ): X_std = ( X - X . min ( axis = 0 )) / ( X ....
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.minmax_scale.html
    Thu Oct 09 16:57:48 UTC 2025
      115.6K bytes
      Cache
     
  7. Various Agglomerative Clustering on a 2D embedd...

    X_red [ y == digit ] . T , marker = f "$ { digit } $" , s = 50 , c...title = None ): x_min , x_max = np . min ( X_red , axis = 0 ),...
    scikit-learn.org/stable/auto_examples/cluster/plot_digits_linkage.html
    Sun Oct 12 02:56:14 UTC 2025
      95.2K bytes
      Cache
     
  8. export_text — scikit-learn 1.7.2 documentation

    feature_names = None , class_names = None , max_depth = 10 , spacing...spacing = 3 , decimals = 2 , show_weights = False ) [source] # Build...
    scikit-learn.org/stable/modules/generated/sklearn.tree.export_text.html
    Thu Oct 09 16:57:49 UTC 2025
      110.7K bytes
      2 views
      Cache
     
  9. 2.3. Clustering — scikit-learn 1.7.2 documentation

    V)]=\sum_{i=1}^{|U|} \sum_{j=1}^{|V|} \sum_{n_{ij}=(a_i+b_j-N)^+...assign_labels="kmeans" assign_labels="discretize" assign_labels="cluster_qr"...
    scikit-learn.org/stable/modules/clustering.html
    Sun Oct 12 02:56:16 UTC 2025
      237K bytes
      Cache
     
  10. Underfitting vs. Overfitting — scikit-learn 1.7...

    0 ) n_samples = 30 degrees = [ 1 , 4 , 15 ] X = np . sort ( np...ax , xticks = (), yticks = ()) polynomial_features = PolynomialFeatures...
    scikit-learn.org/stable/auto_examples/model_selection/plot_underfitting_overfitting.html
    Sun Oct 12 02:56:17 UTC 2025
      98.7K bytes
      Cache
     
Back to top