Hyperparameter optimization and model evaluation utilities for the Poseigen family
Project description
Compass
Compass is the hyperparameter optimization and model evaluation package in the Poseigen family. It provides utilities for generating and scoring hyperparameter candidates, model ensembling, and statistical assessment.
Features
- Random candidate generation across continuous and categorical hyperparameter spaces.
- Candidate scoring with optional model repeats and top-k selection.
- Average ensembles from model repeat sets.
- Bootstrap ensembles for statistical assessment.
Installation
Install from PyPI:
pip install poseigen_compass
For local development, install from source using your preferred editable-install workflow.
Usage
Import modules directly:
import poseigen_compass as co
Project Status
poseigen_compass is in active development and is intended to support hyperparameter search and evaluation workflows across the Poseigen ecosystem.
Related Projects
- poseigen_seaside: shared utilities and metrics foundation.
License
This project is released under the MIT License.
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