Write run metadata
Record various types of training run metadata This function can be called even when a run directory isn't active (metadata will only be written if and when a run directory is initialized).
write_run_metadata(type, data, run_dir = NULL)
type |
Type of metadata to write. Standard types include "flags", "sources", "properties", "metrics", and "evaluation". You can also specify a custom type (see Custom Types section below). |
data |
Metadata to write:
|
run_dir |
Run directory to write metadata into (defaults to currently active run) |
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.
You can pass a type with an arbitary name along with a function that
should be used to writes the data. The function will be passed a
single data_dir argument. For example:
write_run_metadata("images", function(data_dir) {
# write into data_dir here
})
write_run_data() is deprecated and is provided as an alias
for backward compatibility.
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