Got this working after using the preprocess step similar to the sklearn example to convert the input explicitly to list.

cc : @<1523701827080556544:profile|JuicyFox94>

hmm, i was speaking from a production point of view, i thought there will be some hooks for deploying where the integration with k8s was also taken care automatically.

AFAIK, i have to create a deployment of this container and add an ingress on top of it. In the architecture diagram in github, this seems to be something that is already baked in , which is what caused confusion. Curious to know your thoughts on this.

Yeah GPU utilization was 100% . I cleaned it up using nvidia-smi and killing the process. But i was expecting the clean up to happen automatically since the process failed.

sure Thanks SuccessfulKoala55 Not sure if is a one off event. I will try to reproduce it.

no , it didn't kill the process.

Thanks @<1567321739677929472:profile|StoutGorilla30> and @<1523701070390366208:profile|CostlyOstrich36> my question was from the perspective of agent. I am guessing agent.binary is what i would have to set.
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Thanks CostlyOstrich36

@<1523701087100473344:profile|SuccessfulKoala55> , using this

allegroai 

It's been stuck in initialization for a long time.

@<1523701087100473344:profile|SuccessfulKoala55> , trying to use external mongo. In the values.yaml
I see these two fields

mongodbConnectionStringAuth: ""
mongodbConnectionStringBackend: ""

can you please help with what should go in these ?

@<1523701087100473344:profile|SuccessfulKoala55> , from the init-containers i could see that it is waiting for mongodb to start.

@<1523701087100473344:profile|SuccessfulKoala55> , it's on a single machine.

This is because you need to add the helm repo first.

helm repo add allegroai 

@<1523701087100473344:profile|SuccessfulKoala55> I saw in the examples one case of engine being passed as custom .

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My requirement is the need for supporting let's say other frameworks like spacy . So I was thinking maybe i could create a pipeline that does the model load and inference and pass that pipeline. I am still figuring out the ecosystem, would something like that make sense?

Hmm, thanks @<1523701087100473344:profile|SuccessfulKoala55> what would be the right way that you would recommend for adding support for other models/frameworks like spacy .

Would you recommend adding other models by sending PR in line with the lightgbm example here
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or use the custom option and move the logic for loading the model to preprocess or `proce...

Thanks @<1523701205467926528:profile|AgitatedDove14> . For now i have forked the clearml-serving locally and added an engine for spacy . It is working fine. Yeah, i think some documentation and a good example would make it more visible. An example for something like spacy would be useful for the community.