Andrew DalPino

Hi @oliverbj! Without any preprocessing of your features, each title and text blob will be considered a unique category. With nothing else to go by, your estimator is probably just...

Hi @marcelklehr thanks for the great question In fact we do have plans for interoperability, however, in the other direction The [ONNX](https://onnx.ai/) format (or similar format), is a format that...

> Is there an ETA for this? Nope, need more resources! However we are experimenting with building a library on top of TensorFlow called [Rubix DL](https://github.com/RubixML/DL). That might interest you.

Just an update because I know this feature means a lot to some people. Due to financial reasons, I had to drastically reduce the amount of time I have to...

Hey @Boorinio and @DrDub sorry it took me so long ... Yeah I agree super cool feature and I think the implementation is on point. I could go either way...

We'll release this in 2.2!

Hi @BasvanH thanks for the great question See this issue regarding time-series datasets https://github.com/RubixML/RubixML/issues/35 - in short, we do not directly support time-series data yet Since stock price is [non-stationary](https://people.duke.edu/~rnau/411diff.htm),...

@BasvanH No problem, welcome to our community! Are you able to obtain more features for your dataset or do you just have the 3 that you mentioned? How many samples...

Looks like you are well on your way @BasvanH Keep us updated with your progress and don't hesitate to follow up with questions Also, given the recent interest (https://github.com/RubixML/RubixML/issues/40, https://github.com/RubixML/RubixML/issues/35),...

> Hey @BasvanH did you have any luck with this? I'm trying to also use the RandomForest algo but the link above is broken and I did not find any...