tlc.metrics¶

Core functionality for collecting per-sample metrics with a model on a tlc.Table, writing them to a tlc.Run. This includes a variety of metrics_collectors which can be applied during metrics collection inference passes through tlc.collect_metrics().

Modules and Packages¶

Module

Description

aggregators

Aggregate metrics across batches to summarize a metrics table.

collect

Collect per-sample metrics with a tlc Table.

collectors

Implementations of metrics collectors in PyTorch.

predictor

A wrapper for calling PyTorch models