Track

A track evaluate a model's performance.

The following metrics are recorded:

• Time, which should be interpreted with wisdom. Indeed time can depend on the architecture

  and local resource situations. Comparison via FLOPS should be preferred. - The model's memory footprint.

• The model's predictive performance on the track's dataset.

Parameters

• name

  Type → str

  The name of the track.

• datasets

  The datasets that compose the track.

• metric

  The metric(s) used to track performance.

Methods

run