With an hash of course 🙂

Any chance you can open a github issue on it?

Will do!

Only one param, just playing around

As in run a training experiment, then a test/validation experiment to choose best model etc etc and also have a human validate sample results via annotations all as part of a pipeline

The Optimizer task is taking a lot of time to complete. Is it doing something here:

I have my notebooks in a git repo and partially use nbdev for scripts

As in if there are jobs, first level is new pods, second level is new nodes in the cluster.

And exact output after the package install and stuff:

Environment setup completed successfully Starting Task Execution: None

Ah thanks for the pointer AgitatedDove14

It does have click==8.0.1

Thanks

Ok, just my ignorance then? 🙂

In this case, particularly because of pickle protocol version between 3.7 and 3.8

One more help - is this something I can pass as task_overrides when creating a pipeline in add_step?

One thing I am looking at is nbdev from fastai folks

Thanks that works. Had to use Task.completed() for my version

Thoughts AgitatedDove14 SuccessfulKoala55 ? Some help would be appreciated.

All right got it, will try it out. Thanks for the quick response.

now if dataset1 is updated, i want process to update dataset2

dataset1 -> process -> dataset2

Will try it out. Pretty impressed 🙂

Currently we train from Sagemaker notebooks, push models to S3 and create containers for model serving

Can I switch off git diff (change detection?)

Yeah getting a better sense

Pushed the changes, not sure if it’s fully right. Do let me know. But functionality is working

AgitatedDove14 - i am disabling pytorch like above but still see auto models . I even see model import when running evaluation from a loaded model

Any reason to not have those as two datasets?

AgitatedDove14 - worked with mutable copy! So was definitely related to the symlinks in some form

Like it said, it works, but goes into the error loop