Clipping in gradient_wrt_input
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Description
Currently, we implement one "Explainable" algorithm in `deepdow.explain.gradient_wrt_input`. The problem is that we do not restrict the values the input can have. One solution would be to implement some projection/clipping logic that takes place after each optimizer step and thus forces the values to be in a given range.
See https://arxiv.org/pdf/1702.04782.pdf
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the deepdow.explain.gradient_wrt_input entry point and read the linked paper for the proposed projection or clipping approach. Determine how optimizer steps are performed and what input range should be enforced; done means the explainable algorithm keeps input values within that range after each step.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100