How can I put an tensorflow model as args into a map function?
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Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 20/100
- Issue type
- Bug
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python, tensorflow
- Domain
- machine-learning, stream-processing
Research direction
Start with the provided map(data, model) example and inspect streamz's map behavior for positional arguments and object state. Compare the TensorFlow model before and after the map call, then establish a minimal reproduction and document the observed behavior or the required change.
Written by the indexing model from the issue text.
Description
def map(data, model):
model.fit(data)
I want to put an tensorflow model into map function as args, However, the model has changed compared to before. So I am unable to train this model in the map function. Why is that? Why the tensorflow model changes after putting it into the map function.
- Dominant language
- Python
- Stars
- 1.3k
- Forks
- 149
- PR merge metrics
- No merged PRs in 30d
Contributor guide
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