Table Of Contents
Table Of Contents

EvalMetric

class mxnet.metric.EvalMetric(name, output_names=None, label_names=None, **kwargs)[source]

Base class for all evaluation metrics.

Note

This is a base class that provides common metric interfaces. One should not use this class directly, but instead create new metric classes that extend it.

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.
__init__(name, output_names=None, label_names=None, **kwargs)[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_name_value() Returns zipped name and value pairs.
reset() Resets the internal evaluation result to initial state.
update(labels, preds) Updates the internal evaluation result.
update_dict(label, pred) Update the internal evaluation with named label and pred