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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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