gnitr

Modularity and extensibility of RProp implementation

2

The architecture of Encog is really well designed with nice separations between the different parts of the networks and the training algorithms. It seems to be built to be very...

PMML

3

Have you thought about supporting PMML? This XML standard allows you to exchange predictive models with other applications and it is quite well supported now. That would allow for instance...

I think that in Encog 3 the notion of population already exists but it seems to be tied to genetic algorithms like the standard GA and Neat. The evolutionary and...

Exposing parameters of the training algorithms

3

This is a feature request. It would be helpful to expose the parameters of the training algorithms with setters and getters. Take RProp for instance (TrainFlatNetworkResilient). Some of the parameters...