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Can't show all the data points that have been tracked!
To reproduce
from aim import Run
import random
run = Run(experiment="aim_bug")
for i in range(1000):
value = random.normalvariate(100, 10) if i%100==0 else 0
run.track(value, name="value", step=i)
Expected behavior
Show all the data points, but now only some of them are sampled!
Environment
Aim Version 3.25.0
Python version 3.11
pip version 24.2
OS Mac
The text was updated successfully, but these errors were encountered:
Hey @ArkiZh! Thanks for reaching out. This is done by design considering performance limitations of rendering charts on browsers for providing smooth experience.
We're showing maximum 500 randomly uniform sampled data points and it's natural that some of them didn't make it.
Can you describe what has driven you to open this issue and also the use case where all the data points are essential in the charts?
I'm attempting to use aim to debug and gain insight about some complicated internal dynamics of novel attention mechanisms I'm exploring. Not being able to see all the points collected even when zoomed in is a dealbreaker for research use cases. Shame, its otherwise a pretty great tool.
@mihran113 Can you point me in the direction of what needs to be hacked/tweaked to enable this?
🐛 Bug
Can't show all the data points that have been tracked!
To reproduce
Expected behavior
Show all the data points, but now only some of them are sampled!
Environment
The text was updated successfully, but these errors were encountered: