thesps/conifer

Support for multiple output models

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#104 opened on Apr 9, 2026

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enhancementgood first issuehelp wanted

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Description

Some libraries support multiple outputs from one tree / forest e.g. https://xgboost.readthedocs.io/en/stable/tutorials/multioutput.html This would be good to support in conifer, especially as the conventional approach to multiple output targets (e.g. multi-class classification) involves adding more trees (n_learners * n_classes). Multiple output models ought to be more resource efficient.

Contributor guide

Research direction
Study how multi output models are implemented in libraries like XGBoost and scikit learn. Examine conifer's current tree structure and inference pipeline to identify necessary modifications.
Tech stack
python
Domain
machine learning
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Fresh
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
PythonMachine Learning basics
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
30