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39 × Eureka!SuccessfulKoala55 thanks alot for your help i greatly appreciate it, i think you are right that there is something happening with the request, I did some checking i can get it running on another computer (my non work computer), so i think you are right there must be something happening with my work related computer which is causing this to occur š I'll keep trying to drill down on this issue on my work computer to see what the difference is, but I can atleast proceed now to as i g...
i think the call is wrong
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from clearml import Task
# Connecting ClearML with the current process,
# from here on everything is logged automatically
# Create a new task, disable automatic matplotlib connect
task = Task.init(project_name='Something', task_name='Something')
# Create plot and explicitly report as figure
N = 50
x = np.random.rand(N)
y = np.random.rand(N)
colors = np.random.rand(N)
area = (30 * np.random.rand(N))**2 # 0 to 15 ...
AgitatedDove14 yes it is a flask warning, i'm wondering why the clearml server isn't setup with wsgi?
from the clearml logs when setting up the clearml server using kubernetes
and when iām running it in sagemaker
^ it works if i do that and use the jupyter credentials from my work space settings.
Failed processing request
http://localhost:8008/auth.login : 'Logger' object is not callable
alternatively you could create a new OutputModel like here: https://github.com/allegroai/clearml/blob/master/examples/reporting/model_reporting.py , not sure if there is a way to stop the automatic uploading
you can use Task.update_output_model()
to update the name of the output moel