R: Logs hyperparameters configuration

log_hparams_config {tfevents}

R Documentation

Logs hyperparameters configuration

Description

Logs the hyperaparameter configuration for a HyperParameter tuning experiment. It allows you to define the domain for each hyperparameters and what are the metrics that should be shown in the TensorBoard UI, along with configuring their display name and descriptions.

Usage

log_hparams_config(hparams, metrics, time_created_secs = get_wall_time())

summary_hparams_config(hparams, metrics, time_created_secs = get_wall_time())

Arguments

`hparams`	A list of `hparams` objects as created by `hparams_hparam()`.
`metrics`	A list of `metrics` objects as created by `hparams_metric()`. These metrics will be tracked by TensorBoard UI when displaying the hyperparameter tuning table.
`time_created_secs`	The time the experiment is created in seconds since the UNIX epoch.

Value

Invisibly returns the HParam conffuration data as a summary object.

Functions

summary_hparams_config(): For advanced users only. Creates a hyperaparameter configuration summary that can be logged with log_event().

Recommendations

When loging hyperparameter tuning experiments, the log directory organization is:

- root:
 - log_hparams_config(...)
 - run1:
   - log_hparams(...)
   - log_event(...)
 - run2:
   - log_hparams(...)
   - log_event(...)

Ie you should have a root logdir that will only contain the hyperaparameter config log, as created with log_hparams_config(). Then each run in the experiment will have it's own logdir as a child directory of the root logdir.