Getting the following error when I try to run this code:
Traceback (most recent call last): File "plots-issue.py", line 9, in <module> fig=px.pie(df, names='a', facet_col='b') TypeError: pie() got an unexpected keyword argument 'facet_col'
Hi @<1702130048917573632:profile|BlushingHedgehong95> , where did you see this?
You will need to set agent.git_user agent.git_pass in your clearml.conf so the agent will be able to clone the repository. For git_pass you will need to use your github token or bitbucket app password
If I'm not mistaken Task.get_last_iteration()
https://clear.ml/docs/latest/docs/references/sdk/task#get_last_iteration
reports the last iteration that was reported. However someone has to report that iteration. You either have to report it manually yourself during the script OR have something else like tensorflow/tensorboard do that reporting and ClearML should capture it
Does it make sense?
HelplessCrocodile8 , we managed to reproduce the issue. Looks like it occurs in this specific case only on python3.9 + windows. We've logged it and it should be fixed. I'll let you know when 🙂
Can you add the api section of your clearml.conf and also a log of a task?
Hi @<1556450111259676672:profile|PlainSeaurchin97> , the API can only retrieve the URI from the backend. The SDK itself will manage the downloads for you.
Click the little cogwheel on the top right as shown in the screenshot. It will open a menu and one of the options is to add custom metrics 🙂
@<1719524641879363584:profile|ThankfulClams64> , the Genesis autoscaler feature is currently disabled. You can still use the AWS and GCP autoscalers available though
GreasyPenguin14 Hi!
I wish I could help but I'm afraid I'll need to ask AnxiousSeal95 for some help with that, please hold tight until he will be able to help out 🙂
did you setup agent.git_pass & agent.git_user in clearml.conf ?
Oh, I would suggest asking on the main support channel for ClearML 🙂
Hi DefiantSpider5 , please use the following contact form for business related questions 🙂
https://clear.ml/contact-us/
Hi @<1729309137944186880:profile|GrittyBee73> , It has a python API used under the hood indeed:
None
examples on how to use it: None
[None](https://github.com/allegroai/clearml-serving/blob/724c99c605540cdae25e4ef504c09f705cd53503/clearml_serving/serving/model_request_proces...
Hi @<1523703012214706176:profile|GorgeousMole24> , I'm not sure about the exact definition, but I think when the script finishes running or the thread that started Task.init() finishes.
I'm not sure. Maybe AgitatedDove14 , might have an idea
StaleButterfly40 , I'm trying to get an estimate of what you have because if the content is too large the preview isn't shown....
What do you mean by public to private mongo? @<1734020208089108480:profile|WickedHare16>
I think you would need to add some 'pre' steps. So you would want to build the package from the repository ( python setup.py bdist_wheel ) and then you can either install it manually via the startup script OR add it as a requirement using the following syntax in requirements file:///srv/pkg/mypackage
Hi @<1546303293918023680:profile|MiniatureRobin9> , do you have some stand alone script that reproduces this behaviour for you? Are you both running the same pipeline? How are you starting the pipeline
Yes, you'll need to connect them via code
Hi @<1639799308809146368:profile|TritePigeon86> , can you please elaborate? What do you mean by external way?
I think its possible there was an upgrade in Elastic, I'd suggest going over the release notes to see if this happened with the server
I think the issue is that the message isn't informative enough. I would suggest opening a GitHub issue on this requesting a better message. Regarding confirming - I'm not sure but this is the default behavior of Optuna. You can run a random or a grid search optimization and then you won't see those messages for sure.
What do you think?
Hi @<1734020162731905024:profile|RattyBluewhale45> , from the error it looks like there is no space left on the pod. Are you able to run this code manually?