I'm working on a `Regression Problem`

with `Deep Learning`

(`Neural Networks`

).

I'm seriously considering to use the package: `H2O`

because it looks really good (instead of the `neuralnet`

package).

I have been searching a lot but didn't find any example, that meets the following points:

- Uses
`H2O`

package. - It is a regression Problem (predicting one numeric value).
- Uses
`Neural Networks`

(`Deep Learning`

). - It does the training of the
`Neural Networks`

. - 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?

Thanks!