I have 100 experiments and I have to log them and update those experiments every 5 minutes

This code gives me the graph that I displayed above

logger.report_scalar("loss", "train", iteration=0, value=100)
logger.report_scalar("loss", "test", iteration=0, value=200)

its like main title will be loss

main will initialize parent task and then my multiprocessing occurs which call combined function with parameters as project_name and exp_name

Hi AgitatedDove14 , I wanted to ask you something. Is it possible that we can talk over voice somewhere so that I can explain my problem better?

like if u see in above image my project name is abcd18 and under that there are experiments Experiment1, Experiment2 etc.

You can do:
task = Task.get_task(task_id='uuid_of_experiment')
task.get_logger().report_scalar(...)

Now the only question is who will create the initial Task, so that the others can report to it. Do you have like a "master" process ?

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()

Like here in the sidebar I am getting three different plots named as loss, train_loss and test_loss

I have one more question?

and under that there will be three graphs with title as train test and loss

Before this line, call Task.init

Can my request be made as new feature so that we can tag same type of graphs under one main tag

okay, Thanks AgitatedDove14 for the help.

so I want loss should be my main title and I want two different graphs of train and test loss under that loss

yes

logger.report_scalar(title="loss", series="train", iteration=0, value=100)
logger.report_scalar(title="loss", series="test", iteration=0, value=200)

like in the above picture

and it should log it into the same task and same project

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

so, like if validation loss appears then there will be three sub-tags under one main tag loss

I have to create a main task for example named as main

like in the sidebar there should be a title called "loss" and under that two different plots should be there named as "train_loss" and "test_loss"

It will not create another 100 tasks, they will all use the main Task. Think of it as they "inherit" it from the main process. If the main process never created a task (i.e. no call to Tasl.init) then they will create their own tasks (i.e. each one will create its own task and you will end up with 100 tasks)

yes But i want two graphs with title as train loss and test loss and they should be under main category "loss"

so what I have done is rather than reading sequentially I am reading those experiments through multiprocessing and for each experiment I am creating new task with specified project_name and task_name

make sense ?

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

each subprocess logs one experiment as task