MeasureTransport / MeasureTransport/MParT
MapFromSamples
Open
Nobody has claimed this yet.
enhancement
- Dominant language
- C++
- Stars
- 18
- Forks
- 5
- PR merge metrics
- No merged PRs in 30d
Description
An easy wrapper that performs the following steps
- Standardize the samples
- Reorder the dimensions to maximize conditional independence *
- Estimate conditional independence structure in the map *
4a) Train a map according to a specific total order OR
4b) Adaptively learn a map using ATM or something - compose the standardization, reordering, and learnt map somehow
- return that composition
The steps with * are optional. Related to #334 #317 #312
Contributor guide
No contributing guide indexed for this repository
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
No source file or test is named. Start by reading related issues #334, #317, and #312 and locating the existing map, standardization, and sample-handling entry points. Done would require an agreed wrapper that performs the listed pipeline, supports the optional steps, and returns the composed map.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100