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SGD: Weighted samples — scikit-learn 1.6.1 docu...
c = y , s = sample_weight , alpha = 0.9 , cmap = plt . cm...alpha = 0.01 , max_iter = 100 ) clf . fit ( X , y ) Z = clf ....scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_weighted_samples.html -
export_graphviz — scikit-learn 1.6.1 documentation
out_file = None , * , max_depth = None , feature_names = None ,..., class_names = None , label = 'all' , filled = False , leaves_parallel...scikit-learn.org/stable/modules/generated/sklearn.tree.export_graphviz.html -
SVM Tie Breaking Example — scikit-learn 1.6.1 d...
()): svm = SVC ( kernel = "linear" , C = 1 , break_ties = break_ties...SVC X , y = make_blobs ( random_state = 27 ) fig , sub = plt . subplots...scikit-learn.org/stable/auto_examples/svm/plot_svm_tie_breaking.html -
Sparse inverse covariance estimation — scikit-l...
cov /= d cov /= d [:, np . newaxis ] prec *= d prec *= d [:,..., size = n_samples ) X -= X . mean ( axis = 0 ) X /= X . std...scikit-learn.org/stable/auto_examples/covariance/plot_sparse_cov.html -
Restricted Boltzmann Machine features for digit...
mode = "constant" , weights = w ) . ravel () X = np . concatenate...X , y = datasets . load_digits ( return_X_y = True ) X = np ....scikit-learn.org/stable/auto_examples/neural_networks/plot_rbm_logistic_classification.html -
lars_path_gram — scikit-learn 1.6.1 documentation
max_iter = 500 , alpha_min = 0 , method = 'lar' , copy_X = True ,..., verbose = 0 , return_path = True , return_n_iter = False , positive...scikit-learn.org/stable/modules/generated/sklearn.linear_model.lars_path_gram.html -
VotingClassifier — scikit-learn 1.6.1 documenta...
voting = 'hard' , weights = None , n_jobs = None , flatten_transform...voting=’soft’ If voting=’soft’ and flatten_transform=True, transform...scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingClassifier.html -
conditionBeanMap (includeQueryMap) | DBFlute
[property-type] = map: { ; [condition-key] = map: { [table-name] = list:{[column-name]...String = map: { ; GreaterThan = map: {} ; LessThan = map: {}...dbflute.seasar.org/ja/manual/reference/dfprop/includequery/index.html -
PassiveAggressiveRegressor — scikit-learn 1.6.1...
C = 1.0 , fit_intercept = True , max_iter = 1000 , tol = 0.001...n_iter_no_change = 5 , shuffle = True , verbose = 0 , loss = 'epsilon_insensitive'...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveRegressor.html -
Adjustment for chance in clustering performance...
randint ( low = 0 , high = n_classes , size = n_samples ) Another...labels_a = random_labels ( n_samples = n_samples , n_classes = n_classes...scikit-learn.org/stable/auto_examples/cluster/plot_adjusted_for_chance_measures.html