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		Hi, I Was Getting A Really Weird Error Due To Mismatch On The Versions Between The Installed Libraries In My Environment And The Ones Ran In The Node (I Manually Changed The Installed Packages And Everything Worked). How Can I Force Trains To Use Exactly
No, I have all the packages with a version. I just want to know if there is a way to override the requirements versions detected by Pigar when using  detect_with_pip_freeze: false . I have locally  cloudpickle==1.4.1  but when running the code and sending the task to the node the environment uses  cloudpickle==1.6.0  . I have to manually change the version on the UI. Is there a way to force this single package to have a version? Maybe on the requirments.txt or something similar
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	5 years ago
				
					
						 
	2 years ago