luz_metric_set

A metric set can be used to specify metrics that are only evaluated during
training, validation or both.

A high level interface for 'torch' providing utilities to reduce the
the amount of code needed for common tasks, abstract away torch details and
make the same code work on both the 'CPU' and 'GPU'. It's flexible enough to
support expressing a large range of models. It's heavily inspired by 'fastai' by
Howard et al. (2020) <doi:10.48550/arXiv.2002.04688>, 'Keras' by Chollet et al. (2015) and
'PyTorch Lightning' by Falcon et al. (2019) <doi:10.5281/zenodo.3828935>.

Daniel Falbel

Higher Level 'API' for 'torch'

Christophe Regouby

 RStudio

luz_metric_set function

<dl><dt>metrics</dt>
<dd>A list of luz_metrics that are meant to be used in both training
and validation.</dd>
<dt>train_metrics</dt>
<dd>A list of luz_metrics that are only used during training.</dd>
<dt>valid_metrics</dt>
<dd>A list of luz_metrics that are only sued for validation.</dd></dl>

Arguments

Creates a metric set — luz_metric_set

<dl>

<dt>metrics</dt>
<dd>A list of luz_metrics that are meant to be used in both training
and validation.</dd>


<dt>train_metrics</dt>
<dd>A list of luz_metrics that are only used during training.</dd>


<dt>valid_metrics</dt>
<dd>A list of luz_metrics that are only sued for validation.</dd>

</dl>

luz_metric_set: Creates a metric set

Description

Usage

Arguments