View metrics for a training run
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.
view_run_metrics(metrics) update_run_metrics(viewer, metrics)
metrics |
Data frame containing run metrics |
viewer |
Viewer object returned from |
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.
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)
Metrics named "acc" or "accuracy" will automatically use 1.0 as the
maximum value on their y-axis scale.
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.