view_run_metrics
View metrics for a training run
Description
Interactive D3 visualization of metrics for a training run. Metrics will be displayed in the RStudio Viewer (if available), otherwise will be displayed in an external web browser.
Usage
view_run_metrics(metrics)
update_run_metrics(viewer, metrics)
Arguments
Arguments | Description |
---|---|
metrics | Data frame containing run metrics |
viewer | Viewer object returned from view_run_metrics() . |
Section
Metrics Data Frame
Metrics should be passed as a data frame with one column for each metric. If the metrics are not yet complete (e.g. only metrics for the first several epochs are provided) then metrics in yet to be completed epochs should use NA
as their values. For example: ```
data.frame’: 30 obs. of 4 variables:
$ loss : num 0.423 0.201 NA NA NA …
$ acc : num 0.873 0.942 NA NA NA …
$ val_loss: num 0.174 0.121 NA NA NA …
$ val_acc : num 0.949 0.964 NA NA NA …
``If both metrics and validation metrics are provided, you should preface the name of the validation metric with
“val_”(e.g. for a metric named
“loss”provide validation metrics in
“val_loss”`). This indicates that the metrics are related which is useful e.g. when plotting metrics.
Realtime Updates
Metrics can be updated in real-time by calling the update_run_metrics()
with the run viewer instance returned from view_run_metrics()
. For example: ```
view metrics
viewer <- view_run_metrics(metrics)
update with new metrics
update_run_metrics(viewer, updated_metrics)
```
Note
Metrics named "acc"
or "accuracy"
will automatically use 1.0
as the maximum value on their y-axis scale.
See Also
write_run_metrics