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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 -
l1_min_c — scikit-learn 1.5.2 documentation
y = make_classification ( n_samples = 100 , n_features = 20...y , * , loss = 'squared_hinge' , fit_intercept = True , intercept_scaling...scikit-learn.org/stable/modules/generated/sklearn.svm.l1_min_c.html -
GenericUnivariateSelect — scikit-learn 1.5.2 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 -
Trained models | Machine Learning in the Elasti...
erated=true&include=definition&decompress_definition=false" \...www.elastic.co/guide/en/machine-learning/current/ml-trained-models.html -
nan_euclidean_distances — scikit-learn 1.5.2 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 -
EmpiricalCovariance — scikit-learn 1.5.2 docume...
multivariate_normal ( mean = [ 0 , 0 ], ... cov = real_cov , ... size = 500 ) >>>...comp_cov , norm = 'frobenius' , scaling = True , squared = True ) [source]...scikit-learn.org/stable/modules/generated/sklearn.covariance.EmpiricalCovariance.html -
Donald Trump's Day At McDonald's, And This Week...
fill="none" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor">...fill="none" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor">...digg.com/memes-ranked/link/best-memes-trump-mcdonalds-top-bottom-paycheck-just-hit -
Behaviorについて | DBFlute
ListResultBean<Member> memberList = memberBhv.selectList(cb); // 変数(名)の選択状態になる...@Java List<Member> memberList = member ... ; // この行のどこにいても shift...dbflute.seasar.org/ja/manual/function/ormapper/behavior/howto.html -
mutual_info_classif — scikit-learn 1.5.2 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 -
explained_variance_score — scikit-learn 1.5.2 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