tensorflow / tensorflow/probability
Scope of interpolation and histogram in TFP
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Description
Hi, there are a few interpolation functions in TFP implemented as I've seen, but they are also limited to fixed grids or linear interpolation for example. Are there any plans in the near future to extend this capability in TFP?
Similar for histograms, in TF there is some support for 1D histograms, but I don't think higher dims or non-regular grids are supported. Any plans for TFP in this direction (or do you know of any other library that tries to do that? I could not find anything)?
Very closely related: a distribution build from a histogram and interpolating is a goal?
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Research direction
No files, tests, or implementation entry points are named. First clarify whether the request is for interpolation, multidimensional or non-regular histograms, histogram-backed distributions, or a roadmap discussion; define the desired API and supported grid behavior before identifying affected TFP components and tests.
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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
- 15/100