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NastyOtter17
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8 Questions, 14 Answers
  Active since 10 January 2023
  Last activity 8 months ago

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9 × Eureka!
0 Votes
1 Answers
479 Views
0 Votes 1 Answers 479 Views
None The link to the script is broken, script in the repo is named matplotlib_manual_reporting.py
3 years ago
0 Votes
1 Answers
874 Views
0 Votes 1 Answers 874 Views
What exactly is sdk.google.storage.project https://clear.ml/docs/latest/docs/configs/clearml_conf#sdkgooglestorage used for? 🤔 "Project" is so ambiguous
3 years ago
0 Votes
9 Answers
457 Views
0 Votes 9 Answers 457 Views
None Hello if I try to create a dataset from code, as shown in this example I have two questions: - Closing the data doesnt work: dataset.close() AttributeEr...
3 years ago
0 Votes
5 Answers
967 Views
0 Votes 5 Answers 967 Views
Typo: Was going crazy for a short amount of time yelling to myself: I just installed clear-agent init!
3 years ago
0 Votes
4 Answers
493 Views
0 Votes 4 Answers 493 Views
None "ClearML automatically logs debug samples, allowing you to track" I wouldn't consider the logging shown in the examples as "automatic", rather "explicit"
3 years ago
0 Votes
5 Answers
941 Views
0 Votes 5 Answers 941 Views
I try to update scalars, but the iteration I pass is ignored, instead the last iteration is incremented, feels wrong to me. prev_task = Task.init(continue_la...
3 years ago
0 Votes
1 Answers
867 Views
0 Votes 1 Answers 867 Views
I am not using Tensorflow, however the experiment shows some (useless) data, is the only way to get rid of it to specify auto_connect_frameworks={'tensorflow...
3 years ago
0 Votes
4 Answers
901 Views
0 Votes 4 Answers 901 Views
For some runs of my experiments the ressource monitoring exists, for other it does not. Any idea why this could be the case?
3 years ago
0 Typo: Was Going Crazy For A Short Amount Of Time Yelling To Myself: I Just Installed Clear-Agent Init!

Well its not just the dash in front of queue, but also ml missing in clearml-agent

3 years ago
3 years ago
0 Hi, Is It Possible To Query All Experiments In A Project And Get The Best Performing One (Sorted By One Metric)? Something Similar As Search_Runs In Mlflow (

But now you're talking about the case two Tasks have the same metric, right?
I mean in general, whether the task with the largest metric is first, or smallest, because I'd need largest metric, but to me it seems like smallest metric is first. Can the order be inversed?

3 years ago
0 I Try To Update Scalars, But The Iteration I Pass Is Ignored, Instead The Last Iteration Is Incremented, Feels Wrong To Me.

Sure!
Before:
{'model': {'accuracy': {'name': 'accuracy', 'x': [0, 1], 'y': [0.5789473652839661, 1.0]}}
After:
{'model': {'accuracy': {'name': 'accuracy', 'x': [0, 1, 2 ], 'y': [0.5789473652839661, 1.0, 2.0 ]}}
Expected:
{'model': {'accuracy': {'name': 'accuracy', 'x': [ 0, 1], 'y': [ 2.0 , 1.0]}}

3 years ago
0 Hello If I Try To Create A Dataset From Code, As Shown In This Example I Have Two Questions:

Not much more:
Uploading compressed dataset changes (1 files, total 7.56 KB) to None
Upload completed (7.56 KB)
Traceback (most recent call last):
File "/mnt/c/Users/tbudras/Documents/local-development-code/test_data.py", line 11, in <module>
dataset.close()
AttributeError: 'Dataset' object has no attribute 'close'

3 years ago
0 Hi, Is It Possible To Query All Experiments In A Project And Get The Best Performing One (Sorted By One Metric)? Something Similar As Search_Runs In Mlflow (

I'll try to test in a new project. Will they get ordered ascending or descending? Does documentation beside your example exist?

3 years ago
0 Hi, Is It Possible To Query All Experiments In A Project And Get The Best Performing One (Sorted By One Metric)? Something Similar As Search_Runs In Mlflow (

Still feels super hacky tho, think it would be nice to have a simplier way or atleast some nice documentation 🙂
Thanks for your help!

3 years ago
0 I Try To Update Scalars, But The Iteration I Pass Is Ignored, Instead The Last Iteration Is Incremented, Feels Wrong To Me.

Indeed, does what stated in the docu, however I think its a bit odd, as .report_scalar() works quite different in this case compared to the normal case and iteration is not an optional param but will be ignored anyway

3 years ago