I'm working on a
Regression Problem with
Deep Learning (
I'm seriously considering to use the package:
H2O because it looks really good (instead of the
I have been searching a lot but didn't find any example, that meets the following points:
- It is a regression Problem (predicting one numeric value).
- It does the training of the
- For a single observation (like simulating a future new value), it uses the trained model to predict the target numeric value for that observation (which contains the values for predictor variables).
Sincerely, I will provide a in your comment if you point me to an example that meets those points.
In my opinion, this is a very common use case, isn't it?