mxnet.metric.Loss¶
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class
mxnet.metric.Loss(name='loss', output_names=None, label_names=None)[source]¶ Dummy metric for directly printing loss.
- Parameters
name (str) – Name of this metric instance for display.
output_names (list of str, or None) – Name of predictions that should be used when updating with update_dict. By default include all predictions.
label_names (list of str, or None) – Name of labels that should be used when updating with update_dict. By default include all labels.
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__init__(name='loss', output_names=None, label_names=None)[source]¶ Initialize self. See help(type(self)) for accurate signature.
Methods
__init__([name, output_names, label_names])Initialize self.
get()Gets the current evaluation result.
get_config()Save configurations of metric.
get_global()Gets the current global evaluation result.
get_global_name_value()Returns zipped name and value pairs for global results.
get_name_value()Returns zipped name and value pairs.
reset()Resets the internal evaluation result to initial state.
reset_local()Resets the local portion of the internal evaluation results to initial state.
update(_, preds)Updates the internal evaluation result.
update_dict(label, pred)Update the internal evaluation with named label and pred