Source code for catalyst.dl.callbacks.metrics.f1_score

from catalyst.core import BatchMetricCallback
from catalyst.utils import metrics

[docs]class F1ScoreCallback(BatchMetricCallback): """F1 score metric callback."""
[docs] def __init__( self, input_key: str = "targets", output_key: str = "logits", prefix: str = "f1_score", beta: float = 1.0, eps: float = 1e-7, threshold: float = None, activation: str = "Sigmoid", ): """ Args: input_key (str): input key to use for iou calculation specifies our ``y_true`` output_key (str): output key to use for iou calculation; specifies our ``y_pred`` prefix (str): key to store in logs beta (float): beta param for f_score eps (float): epsilon to avoid zero division threshold (float): threshold for outputs binarization activation (str): An torch.nn activation applied to the outputs. Must be one of ``'none'``, ``'Sigmoid'``, or ``'Softmax2d'`` """ super().__init__( prefix=prefix, metric_fn=metrics.f1_score, input_key=input_key, output_key=output_key, beta=beta, eps=eps, threshold=threshold, activation=activation, )
__all__ = ["F1ScoreCallback"]