hparams_metric: Defines a Metric

In tfevents: Write Events for 'TensorBoard'

Defines a Metric

Description

Metric objects are passed to log_hparams_config() in order to define the collection of scalars that will be displayed in the HParams tab in TensorBoard.

Usage

hparams_metric(
  tag,
  group = NA,
  display_name = tag,
  description = tag,
  dataset_type = NA
)

Arguments

tag	The tag name of the scalar summary that corresponds to this metric.
group	An optional string listing the subdirectory under the session's log directory containing summaries for this metric. For instance, if summaries for training runs are written to events files in ROOT_LOGDIR/SESSION_ID/train, then group should be "train". Defaults to the empty string: i.e., summaries are expected to be written to the session logdir.
display_name	An optional human-readable display name.
description	An optional Markdown string with a human-readable description of this metric, to appear in TensorBoard.
dataset_type	dataset_type: Either "training" or ⁠"validation⁠, or NA.

Value

A hparams_metric object.

Examples

hparams_metric("loss", group = "train")
hparams_metric("acc")

tfevents documentation built on June 27, 2024, 5:10 p.m.