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aws / amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
https://sagemaker-examples.readthedocs.io
Apache License 2.0
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DeepAR - incremental learning #691

Open NicolaiHarich opened 5 years ago

NicolaiHarich commented 5 years ago

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)
lostella commented 5 years ago

Hi @NicolaiHarich, as you noticed, incremental training is currently not supported. I will update this issue in case there are updates on supporting that training strategy.

sujayramaiah commented 4 years ago

Hi @lostella , Can you please advise if the incremental training supports DeepAR now?

lostella commented 4 years ago

@sujayramaiah incremental training is not supported unfortunately

ShirleyMgit commented 2 years ago

@lostella , is there any news in incremental learning in deepar? thanks

lostella commented 2 years ago

@ShirleyMgit there are no updates