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Hi, I'Ve Just Started To Evaluate Clearml For Internal Use At My Org And Am Wondering If There'S Anyway To Import Data From Old Experiments Into The Dashboard. Anyone Have Any Thoughts On This?


I guess this is doable:
You can get the entire set of scalars like as pandas DF: https://www.tensorflow.org/tensorboard/dataframe_api
(another example: https://stackoverflow.com/a/45899735 )
Then iterate over the different runs and create + report scalars)
` from clearml import Task

for run in runs:
task = Task.create_task(...)
logger = task.get_logger()

not real code, just example:

w_times, step_nums, vals = zip(*event_acc.Scalars('Accuracy'))
for step, val in zip(step_nums, vals):
logger.report_scalar(title='Accuracy', series='Accuracy', iteraiton=step, value=val)

we are done

task.close() `Obviously this is missing the link to the code repository + python packages + console logs etc. But it will get you the scalars 🙂

  
  
Posted 2 years ago
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