Skip to content

Sample Level, Pipeline Introduced Cumulative Errors (SPICE). Investigating methods for generalisable measurement of cumulative errors in multi-model (and multi-modal) ML pipelines.

License

Notifications You must be signed in to change notification settings

alan-turing-institute/ARC-SPICE

Repository files navigation

ARC-SPICE

Actions Status PyPI version PyPI platforms

Sample Level, Pipeline Introduced Cumulative Errors (SPICE). Investigating methods for generalisable measurement of cumulative errors in multi-model (and multi-modal) ML pipelines.

Installation

python -m pip install arc_spice

From source:

git clone https://github.com/alan-turing-institute/ARC-SPICE
cd ARC-SPICE
python -m pip install .

Usage

Contributing

See CONTRIBUTING.md for instructions on how to contribute.

License

Distributed under the terms of the MIT license.

About

Sample Level, Pipeline Introduced Cumulative Errors (SPICE). Investigating methods for generalisable measurement of cumulative errors in multi-model (and multi-modal) ML pipelines.

Resources

License

Code of conduct

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published