Introduction

What is GeneralPtNN

• Fix previous design that fail to support both Time-series and tabular data
• Now you can just replace the Pytorch model structure to run a NN model.

We provide an example to demonstrate the effectiveness of the current design.

• workflow_config_gru.yaml align with previous results GRU(Kyunghyun Cho, et al.)
  • workflow_config_gru2mlp.yaml to demonstrate we can convert config from time-series to tabular data with minimal changes
    • You only have to change the net & dataset class to make the conversion.
• workflow_config_mlp.yaml achieved similar functionality with MLP

TODO

• We will align existing models to current design.

• The result of workflow_config_mlp.yaml is different with the result of MLP since GeneralPtNN has a different stopping method compared to previous implementations. Specificly, GeneralPtNN controls training according to epoches, whereas previous methods controlled by max_steps.