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sample_without_replacement — scikit-learn 1.7.1...
default=’auto’ If method == “auto”, the ratio of...n_samples , method = 'auto' , random_state = None ) # Sample integers...scikit-learn.org/stable/modules/generated/sklearn.utils.random.sample_without_replacement.html -
normalize — scikit-learn 1.7.1 documentation
norm = 'l2' , * , axis = 1 , copy = True , return_norm = False...even with copy=False. return_norm bool, default=False Whether...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.normalize.html -
accuracy_score — scikit-learn 1.7.1 documentation
normalize == True and the number of samples with normalize == False...y_pred , * , normalize = True , sample_weight = None ) [source] #...scikit-learn.org/stable/modules/generated/sklearn.metrics.accuracy_score.html -
commonColumnMap | DBFlute
REGISTER_USER=VARCHAR ; UPDATE_DATETIME=TIMESTAMP ; UPDATE_USER=VARCHAR...commonColumnMap = map: { ; [column-name1] = [JDBC-type1] ; [column-name2]...dbflute.seasar.org/ja/manual/reference/dfprop/commoncolumn/index.html -
BaseEstimator — scikit-learn 1.7.1 documentation
param = 1 ): ... self . param = param ... def fit...self , X , y = None ): ... self . is_fitted_ = True ... return...scikit-learn.org/stable/modules/generated/sklearn.base.BaseEstimator.html -
kmeans_plusplus — scikit-learn 1.7.1 documentation
sample_weight = None , x_squared_norms = None , random_state = None ,...centers , indices = kmeans_plusplus ( X , n_clusters = 2 , random_state...scikit-learn.org/stable/modules/generated/sklearn.cluster.kmeans_plusplus.html -
7.7. Kernel Approximation — scikit-learn 1.7.1 ...
rbf_feature = RBFSampler ( gamma = 1 , random_state = 1 ) >>> X_features...points. \[\begin{split}K = U \Lambda U^T = \begin{bmatrix} U_1 \\...scikit-learn.org/stable/modules/kernel_approximation.html -
feed.xml
ENV{INTERFACE}=="en*", ENV{ID_NET_DRIVER}=="mlx5_core", RUN+="/sbin/ethtool...ron=gobig&hulk=regpage&blade=elasticweb&gambit=mp-b AWS Marketplace...www.elastic.co/observability-labs/rss/feed.xml -
LabelBinarizer — scikit-learn 1.7.1 documentation
neg_label = 0 , pos_label = 1 , sparse_output = False ) [source]...Parameters : neg_label int, default=0 Value with which negative labels...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelBinarizer.html -
d2_pinball_score — scikit-learn 1.7.1 documenta...
sample_weight = None , alpha = 0.5 , multioutput = 'uniform_average'...(n_samples,), default=None Sample weights. alpha float, default=0.5 Slope...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_pinball_score.html