Batch Transform Error for deepAR algorithm

[sylviahangnguyen]

Describe the bug
Hi,
I'm running the batch transforms from this Amazon SageMaker Batch Transform for the deepAR model implementation in the tutorial
Stock Price Prediction, using SageMaker DeepAR.
Batch transform code

from sagemaker.transformer import Transformer
model = session.create_model_from_job(estimator._current_job_name, name='{}-test'.format(estimator._current_job_name))

test_transformer = Transformer(model,
                                   1,
                                   'ml.m4.xlarge',
                                   output_path='s3://sagemaker-eu-west-1-xxxxxxxxxxxx/sagemaker/stock-prediction/output',
                                   sagemaker_session=session,
                                   strategy='BatchStrategy',
                                   assemble_with='Line')
test_transformer.transform('s3://sagemaker-eu-west-1-xxxxxxxxxxxx/sagemaker/stock-prediction/source/D/test/test.json', split_type='Line')
test_transformer.wait()

JSON input

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Screenshots or logs

JSON.out
And when I open the output file JSON.out, it has 5 lines like the one below. (each line for each stock unique instance I guess).
I also got this error when run batch transforms on Console.

{"error":"The field dynamic_feat needs to be provided in the full prediction range but request has dynamic_feat only for 0 time units in the prediction range when trying to predict for 91 time units."}

To reproduce
Replace the Forecasting and Plotting code in the deepAR notebook with Batch Transform.

Expected behavior
A clear and concise description of what you expected to happen.
JSON output has values of 3 months for targeted stock.

System information

• SageMaker Python SDK version:
• Framework name (eg. PyTorch) or algorithm (eg. KMeans):
• Framework version:
• Python version: 3.7.7
• CPU or GPU: CPU
• Custom Docker image (Y/N): N

[ajaykarpur]

Hi @fallingstar3107, thanks for reaching out. The example repository you linked looks to be unmaintained. Could you please try one of these examples instead?

• https://github.com/awslabs/amazon-sagemaker-examples/blob/master/introduction_to_amazon_algorithms/deepar_electricity/DeepAR-Electricity.ipynb
• https://github.com/awslabs/amazon-sagemaker-examples/blob/master/introduction_to_amazon_algorithms/deepar_synthetic/deepar_synthetic.ipynb

Please let us know if you run into any issues or have further questions.