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Sounds interesting! I'm trying to train a model but it's still "processing" after a bit but fine-tuning takes a while I get it. I'm having trouble understanding how it's inferring schema. I used a sample dataset and yet the sample inference curl uses a blank json?

curl -X POST "XXX/infer" \ -H "Content-Type: application/json" \ -H "x-api-key: YOUR_API_KEY" \ -d '{}'

How do I know what the inputs/outputs are for one of my models? I see I could have set the response variable manually before training but I was hoping the auto-infer would work.

Separately it'd be ideal if when I ask for models that you seem to not be able to train (I asked for an embedding model as a test) the platform would tell me it couldn't do that instead of making me choose a dataset that isn't anything to do with what I asked for.

All in all, super cool space, I can't wait to see more!

I'm a former YC founder turned investor living in Dogpatch. I'd love to chat more if you're down!

discuss

marcellodb|3 months ago

Thanks for the great feedback! To your points:

1. Depending on your dataset the training could take from 45 mins to a few hours. We do need add an ETA on the build in the UI.

2. The input schema is inferred towards the end of the model building process, not right at the start. This is because the final schema depends on the decisions made regarding input features, model architecture etc during the building process. You should see the sample curl update soon, with actual input fields.

3. Great point about upfront rejecting builds for types of models we don't yet support. We'll be sure to add this soon!

We're in London at the moment, but we'd love to connect with you and/or meet in person next time we're in SF - drop us a note on LinkedIn or something :)

vaibhavdubey97|3 months ago

Thanks for the great feedback! We've added a `baseline_deployed` status where the agents create an initial baseline and deploy it so you have something to play around with quickly. This is why you're seeing a blank json there. Once your final model is deployed, it creates an input and output schema from the features used for the model build :)