EnviousStarfish54 , a simple example code:
` from clearml.backend_api.session.client import APIClient
client = APIClient()
task_id = "<task-id>"
event_type can be "training_stats_scalar" or "plot"
event_type = "training_stats_scalar"
result = client.events.get_task_events(task=task_id , batch_size=1000, event_type=event_type)
while result.events:
for event in events:
print(event.timestamp, event.iter, event.metric, event.variant, event.value)
result = client.events.get_task_events(task=task_id , batch_size=1000, event_type=event_type , scroll_id=result.scroll_id) `
I see, I will look into the documentation of it, thanks Jake.
To do that you'll need to use the APIClient which allows you to make direct API calls for which there is no programmatic interface in the Task class - will that be good for you?
I only find the task.get_last_metrics() API, but I would need the entire metric array instead
Hi EnviousStarfish54 , you can use the APIClient to programmatically extract metrics for a specific task. Assuming you have two tasks, you can extract data for both, than compare - will that be a good solution?