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top_k_accuracy_score — scikit-learn 1.7.2...
2 , 0.2 ], # 0 is in top 2 ... [ 0.3 , 0.4 , 0.2 ], # 1...is in top 2 ... [ 0.2 , 0.4 , 0.3 ], # 2 is in top 2 ... [ 0.7...scikit-learn.org/stable/modules/generated/sklearn.metrics.top_k_accuracy_score.html -
LeavePGroupsOut — scikit-learn 1.7.2 docu...
group=[2] Test: index=[0 2], group=[1 3] Fold 2: Train: index=[0],...([ 1 , 2 , 1 ]) >>> groups = np . array ([ 1 , 2 , 3 ])...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePGroupsOut.html -
1.2. Linear and Quadratic Discriminant Analysis...
\frac{1}{(2\pi)^{d/2} |\Sigma_k|^{1/2}}\exp\left(-\frac{1}{2} (x-\mu_k)^t...naive_bayes.GaussianNB . 1.2.2.2. LDA # LDA is a special case...scikit-learn.org/stable/modules/lda_qda.html -
GridSearchCV — scikit-learn 1.7.2 documen...
split0_test_score … rank_t… ‘poly’ – 2 0.80 … 2 ‘poly’ – 3 0.70 … 4 ‘rbf’...verbose = 0 , pre_dispatch = '2*n_jobs' , error_score = nan ,...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html -
MultiTaskLassoCV — scikit-learn 1.7.2 doc...
it is: ( 1 / ( 2 * n_samples )) * || Y - XW ||^ 2 _Fro + alpha...X = np . array ([[ 1 , 2 , 3.1 ], [ 2.3 , 5.4 , 4.3 ]]) . T >>>...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLassoCV.html -
ward_tree — scikit-learn 1.7.2 documentation
s)^2 + \frac{|v|+|t|} {T}d(v,t)^2 - \frac{|v|} {T}d(s,t)^2}\]...array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2 ], [ 4 , 4...scikit-learn.org/stable/modules/generated/sklearn.cluster.ward_tree.html -
mean_variance_axis — scikit-learn 1.7.2 d...
2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2 , 5...>>> scale = np . array ([ 2 , 3 , 2 ]) >>> csr = sparse...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.mean_variance_axis.html -
d2_pinball_score — scikit-learn 1.7.2 doc...
Notes Like \(R^2\) , \(D^2\) score may be negative (it...'uniform_average' ) [source] # \(D^2\) regression score function, fraction...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_pinball_score.html -
type_of_target — scikit-learn 1.7.2 docum...
‘binary’: y contains <= 2 discrete values and is 1d or a...least two columns, and at most 2 unique values. ‘unknown’: y is...scikit-learn.org/stable/modules/generated/sklearn.utils.multiclass.type_of_target.html -
inplace_column_scale — scikit-learn 1.7.2...
2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2 , 5...>>> scale = np . array ([ 2 , 3 , 2 ]) >>> csr = sparse...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_column_scale.html