# Offline Training & Testing Workflows

Here are some workflows related to training and testing decoders offline with existing datasets

## Simple Offline Training & Testing
In this workflow, we 
1. Load the training data
2. Edit our decoder parameters
3. Train our decoder and save it
4. Store the training data and load the testing data
5. Test the decoder offline
6. Export the test results to csv.

<img width="750" alt="Simple Offline Training and Testing Workflow" src="https://user-images.githubusercontent.com/33606025/119212874-110b7880-ba70-11eb-8f3e-8dcae5018264.gif">


## Offline Training using an Existing Decoder
In this workflow, we
1. Load some training data
2. Load the parameters of a trained decoder
3. Retrain the decoder on the current data


## Offline Testing using an Existing Decoder
In this workflow, we
1. Load some testing data
2. Load a decoder trained on the corresponding training data
3. Test the decoder offline