Re: Dynamically change parameter list

That would be fine since the model can contain anything. But the real question is where you want to use those params. If you need to use them the next time you train, you’ll have to persist them to a place read during training. That is usually only the metadata store (obviously input events

Re: Dynamically change parameter list

Thank you very much for the answer. I'll try with customizing workflow. There is a step where Seq of models is returned. My idea is to return model and model parameters in this step. I'll let you know if it works. Thanks, Tihomie On Feb 12, 2018 23:34, "Pat Ferrel"

Re: Dynamically change parameter list

This is an interesting question. As we make more mature full featured engines they will begin to employ hyper parameter search techniques or reinforcement params. This means that there is a new stage in the workflow or a feedback loop not already accounted for. Short answer is no, unless you want

Dynamically change parameter list

Hi, I am trying to figure out how to dynamically update algorithm parameter list. After the train is finished only model is updated. The reason why I need this data to be updated is that I am creating data mapping based on the training data. Is there a way to update this data after the train is

API-Documentation Links

Hello, API-Links are broken, mailing list has no info nor faqs, nobody seems to be complaining, is Prediction.io still alive? Andreas Schlüter __ Disclaimer: This email and any attachments are sent in strictest confidence for