Arthur, Camilla e Pocah se enfrentaram no décimo quinto paredão Foto: Divulgação. Gustavo e Key Alves imagem: Reprodução/Globoplay. BBB 21: Carla e Arthur se beijam antes da eliminação. BBB 21: Arthur reflete no quarto cordel. Programa de 26/01/2022 Paulo Vieira estreia a Big Terapia, novo quadro do BBB.
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plot ( values ) fbeta_score¶ Compute F-score metric. :rtype: Tensor. This function is a simple wrapper to get the task specific versions of this metric, which is done by setting the task argument to either 'binary' , 'multiclass' or multilabel . See the documentation of binary_fbeta_score() , multiclass_fbeta_score() and multilabel_fbeta_score() for the specific details of each argument influence and examples. binary_fbeta_score¶ Compute F-score metric for binary tasks. Accepts the following input tensors: If multidim_average is set to global , the metric returns a scalar value. If multidim_average is set to samplewise , the metric returns (N,) vector consisting of a scalar value per sample. >>> from torch import tensor >>> from torchmetrics.functional.classification import binary_fbeta_score >>> target = tensor ([ 0 , 1 , 0 , 1 , 0 , 1 ]) >>> preds = tensor ([ 0 , 0 , 1 , 1 , 0 , 1 ]) >>> binary_fbeta_score ( preds , target , beta = 2.0 ) tensor(0.6667) >>> from torchmetrics.functional.classification import binary_fbeta_score >>> target = tensor ([ 0 , 1 , 0 , 1 , 0 , 1 ]) >>> preds = tensor ([ 0.11 , 0.22 , 0.84 , 0.73 , 0.33 , 0.92 ]) >>> binary_fbeta_score ( preds , target , beta = 2.0 ) tensor(0.6667) >>> from torchmetrics.functional.classification import binary_fbeta_score >>> target = tensor ([[[ 0 , 1 ], [ 1 , 0 ], [ 0 , 1 ]], [[ 1 , 1 ], [ 0 , 0 ], [ 1 , 0 ]]]) >>> preds = tensor ([[[ 0.59 , 0.91 ], [ 0.91 , 0.99 ], [ 0.63 , 0.04 ]], . Como ganhar dinheiro no cassino sportingbet.Ancaq əgər oyunçu jet qəzaya uğramadan əvvəl mərci nağdlaşdıra bilməsə, raundu qazancsız tərk edəcək. Minimum mərc məbləği 0.20 AZN, maksimum mərc məbləği isə 140 AZN təşkil edir.
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