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

from typing import List

from catalyst.core.callbacks import LoaderMetricCallback
from catalyst.utils import metrics
from catalyst.utils.metrics.functional import wrap_class_metric2dict


[docs]class AveragePrecisionCallback(LoaderMetricCallback): """AveragePrecision metric callback."""
[docs] def __init__( self, input_key: str = "targets", output_key: str = "logits", prefix: str = "average_precision", multiplier: float = 1.0, class_args: List[str] = None, **kwargs, ): """ Args: input_key (str): input key to use for calculation mean average precision; specifies our `y_true`. output_key (str): output key to use for calculation mean average precision; specifies our `y_pred`. prefix (str): metric's name. multiplier (float): scale factor for the metric. class_args (List[str]): class names to display in the logs. If None, defaults to indices for each class, starting from 0 """ super().__init__( prefix=prefix, metric_fn=wrap_class_metric2dict( metrics.average_precision, class_args=class_args ), input_key=input_key, output_key=output_key, multiplier=multiplier, **kwargs, )
__all__ = ["AveragePrecisionCallback"]