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paired_euclidean_distances — scikit-learn 1.7.0...
ces >>> X = [[ 0 , 0 , 0 ], [ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 ,...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.paired_euclidean_distances.html -
nan_euclidean_distances — scikit-learn 1.7.0 do...
Y = None , * , squared = False , missing_values = nan , copy...samples in X and Y, where Y=X is assumed if Y=None. When calculating...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.nan_euclidean_distances.html -
1.9. Naive Bayes — scikit-learn 1.7.0 documenta...
random_state = 0 ) >>> gnb = GaussianNB () >>> y_pred = gnb . fit...\[P(x_i \mid y) = P(x_i = 1 \mid y) x_i + (1 - P(x_i = 1 \mid y))...scikit-learn.org/stable/modules/naive_bayes.html -
BernoulliNB — scikit-learn 1.7.0 documentation
alpha = 1.0 , force_alpha = True , binarize = 0.0 , fit_prior...fit_prior = True , class_prior = None ) [source] # Naive Bayes classifier...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.BernoulliNB.html -
updateNonstrict(entity) | DBFlute
memberId=3} @Java Member member = new Member(); member.setMemberId(...member = memberBhv.selectEntityWithDele(cb); Member member = new...dbflute.seasar.org/ja/manual/function/ormapper/behavior/update/updatenonstrict.html -
Compare Stochastic learning strategies for MLPC...
) mlp = MLPClassifier ( random_state = 0 , max_iter = max_iter...make_circles ( noise = 0.2 , factor = 0.5 , random_state = 1 ), datasets...scikit-learn.org/stable/auto_examples/neural_networks/plot_mlp_training_curves.html -
GenericUnivariateSelect — scikit-learn 1.7.0 do...
score_func=<function f_classif> , * , mode='percentile' , param=1e-05...chi2 >>> X , y = load_breast_cancer ( return_X_y = True ) >>> X...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.GenericUnivariateSelect.html -
1.2. Linear and Quadratic Discriminant Analysis...
\mathcal{R}^d\) : \[P(y=k | x) = \frac{P(x | y=k) P(y=k)}{P(x)} = \frac{P(x...P(y=k | x) &= \log P(x | y=k) + \log P(y = k) + Cst \\ &= -\frac{1}{2}...scikit-learn.org/stable/modules/lda_qda.html -
explained_variance_score — scikit-learn 1.7.0 d...
sample_weight = None , multioutput = 'uniform_average' ,... >>> y_true = [ 3 , - 0.5 , 2 , 7 ] >>> y_pred = [ 2.5 , 0.0...scikit-learn.org/stable/modules/generated/sklearn.metrics.explained_variance_score.html -
mutual_info_classif — scikit-learn 1.7.0 docume...
discrete_features = 'auto' , n_neighbors = 3 , copy = True , random_state...n_features = 10 , n_informative = 2 , n_clusters_per_class = 1 , ......scikit-learn.org/stable/modules/generated/sklearn.feature_selection.mutual_info_classif.html