tensorflow / tensorflow/probability
How to add new data to the pretrained Structural Time Series model in Tensorflow
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Description
Hi everyone, I have a time-series based ML pipeline. The algorithm used in it is Structural Time Series(STS) from Tensorflow here. We retrain it every day from start data to end data. (Around 2 years data) Rather than doing that workload everyday, is there any way to add only new data into the latest STS model trained from the previous day? I appreciate any comment.
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First steps
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Research direction
The issue names TensorFlow's Structural Time Series model but provides no repository file, test, or entry point. Start by reviewing the STS training and inference documentation and determine whether a previously trained model can incorporate new observations without retraining. Done means documenting a supported incremental-update workflow or clearly establishing that it is not supported.
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Assessment
- Tech stack
- tensorflow
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100