ShallowCat10 try something similar to this one, due notice that it might take a while to get all the task objects, so I would start with a single one 🙂
from trains import Task tasks = Task.get_tasks(project_name='my_project') for task in tasks: scalars = task.get_reported_scalars() for x, y in zip(scalars['title']['original_series']['x'], scalars['title']['original_series']['y']): task.get_logger().report_scalar(title='title', series='new_series', value=y, iteration=int(x))
In theory, one could go over previously executed tasks, and create a copy of a specific scalar metric.
ShallowCat10 does that make sense in your scenario ?
ugh too bad. I changed the name of one of my metrics and now It's difficult to compare. It would help if it was possible (even by renaming metrics)