hierarchical target encoding
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- Dominant language
- R
- Stars
- 146
- Forks
- 23
- PR merge metrics
- No merged PRs in 30d
Description
Furthermore, for categorical attributes with an inherent hierarchical structure, like ZIP codes, the preprocessing scheme can directly leverage the hierarchy by blending statistics at the various levels of aggregation.
https://dl.acm.org/doi/10.1145/507533.507538
We would need to select the right columns, and properly add another argument, that takes a formula that describes the hierarchy
Contributor guide
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 by reading the linked ACM paper to understand hierarchical target encoding. Then determine which categorical columns and hierarchy levels the issue should support, and define the formula argument and expected blending behavior. Done means the selected columns and hierarchy can be expressed and used by the preprocessing scheme.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100