NAME

AI::MXNet::Metric - Online evaluation metric module.

DESCRIPTION

Base class of all 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. axis : int (default -1) The axis from prediction that was used to compute softmax. By default use the last axis.

DESCRIPTION

Custom evaluation metric that takes a sub ref.

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 sub ref The name of the metric, or a function providing statistics given pred, label NDArray.