DeepAR - incremental learning

Does DeepAR support incremental learning?
Or in other words: Does it accept the 'model_uri' argument?

I want to update my model over time and I hope that training must not always start from scratch.

#### Update:

Apparently DeepAR **does not support** incremental training. Specifying a model as additional input channel leads to an error (shown below). This is really a pity and I can't understand why it's not supported. This is a standard scenario in deep learning....

Are there any plans to support incremental training for the future?
```
ValueError: Error for Training job DEMO-deepar-2019-03-24-17-01-52-934: Failed Reason: ClientError: Unable to initialize the algorithm. Failed to validate input data configuration. (caused by ValidationError)

Caused by: Additional properties are not allowed (u'model' was unexpected)
```

The issue names DeepAR and the model_uri training input but does not identify a notebook, test, or implementation entry point. Begin by locating the DeepAR training example and checking how its input configuration handles model_uri; done would require an explicit incremental-training capability or a documented decision about future support.

Written by the indexing model from the issue text.