ASSERT-KTH / ASSERT-KTH/RewardRepair
model parameters
- Dominant language
- Java
- Stars
- 25
- Forks
- 12
- PR merge metrics
- No merged PRs in 30d
Description
Hello, I would like to know, can I get the parameters of the model that you have trained, I tried the parameters of Zenodo's trained model given in your documentation, but after test.py the results do not seem to be very good. I wonder if the parameters in Zenodo are not the parameters that are finally trained
Contributor guide
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Research direction
The issue refers to Zenodo's trained model, the project documentation, and test.py. Start by comparing the documented Zenodo parameters with the model used by test.py; done means confirming whether they are the final trained parameters and recording any discrepancy.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- java, python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100