DESCRIPTION
Online evaluation metric module.
DESCRIPTION
Base class of all evaluation metrics.
update
Update the internal evaluation.
Parameters
----------
labels : list of NDArray
The labels of the data.
preds : list of NDArray
Predicted values.
reset
Clear the internal statistics to initial state.
get
Get the current evaluation result.
Returns
-------
name : str
Name of the metric.
value : float
Value of the evaluation.
DESCRIPTION
Manage multiple evaluation metrics.
NAME
AI::MXNet::Perplexity
DESCRIPTION
Calculate perplexity
Parameters
----------
ignore_label : int or undef
index of invalid label to ignore when
counting. usually should be -1. Include
all entries if undef.
DESCRIPTION
Custom evaluation metric that takes a NDArray function.
Parameters
----------
eval_function : subref
Customized evaluation function.
name : str, optional
The name of the metric
allow_extra_outputs : bool
If true, the prediction outputs can have extra outputs.
This is useful in RNN, where the states are also produced
in outputs for forwarding.
create
Create an evaluation metric.
Parameters
----------
metric : str or callable
The name of the metric, or a function
providing statistics given pred, label NDArray.