then if there are 10 experiments then I have to call Task.create() for those 10 experiments

and that function creates Task and log them

now after 1st iteration is completed then after 5 minutes my script runs automatically and then again it logs into trains server

so , it will create a task when i will run it first time

I have one more question?

how to update timestamp

and then log using logger

def combined(path,exp_name,project_name):
temp = Task.create(task_name="exp_name")

logger = temp.current_logger()
logger.report_scalar()

def main():
task=Task.init(project_name="test")
[pool.apply_async(combined, args = (row['Path'], row['exp_name'], row['project_name'])) for index,row in temp_df.iterrows()]

scheduler = BlockingScheduler()
scheduler.add_job(main, 'interval', seconds=60, max_instances=3)
scheduler.start()

but there will be duplicate entries in the UI