Table Of Contents

mxnet.metric.EvalMetric

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

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)

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(labels, preds)	Updates the internal evaluation result.
update_dict(label, pred)	Update the internal evaluation with named label and pred

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