Skip to main content

Library for computing Fractional Information Gain metrics.

Project description

fractional-information-gain

Fractional Information Gain (FIG) is a performance metric for knowledge-tracing models in educational assessment, available in Python (NumPy and PyTorch) and R.

Documentation (installation, usage, and API): https://renaissancephilanthropy.github.io/fractional-information-gain/

Contributing

Development and release instructions are in CONTRIBUTING.md.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fractional_information_gain-1.0.0.tar.gz (30.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

fractional_information_gain-1.0.0-py3-none-any.whl (18.2 kB view details)

Uploaded Python 3

File details

Details for the file fractional_information_gain-1.0.0.tar.gz.

File metadata

File hashes

Hashes for fractional_information_gain-1.0.0.tar.gz
Algorithm Hash digest
SHA256 e771d3e7714ca40e833443b86aef707fa60f2f77e899ad5e12b0781ef0e7c48b
MD5 6db1e588e1dd45dd67df30798c0edf05
BLAKE2b-256 352b097a0d3f1c6ceceaf06c178ed2f8a994795cf8624e03144677f2c55534ce

See more details on using hashes here.

Provenance

The following attestation bundles were made for fractional_information_gain-1.0.0.tar.gz:

Publisher: publish.yml on RenaissancePhilanthropy/fractional-information-gain

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file fractional_information_gain-1.0.0-py3-none-any.whl.

File metadata

File hashes

Hashes for fractional_information_gain-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 7e73da72f2ffd16dd53a86047022596f2b21fb91f71a3f9cc3c3a11c539d9f69
MD5 f6b6bb9ed43d37c42bd9f113c2b76211
BLAKE2b-256 bac7f4e179caae02607c2e2139f9570e18a3b7420266711d9bd3b7711e53a538

See more details on using hashes here.

Provenance

The following attestation bundles were made for fractional_information_gain-1.0.0-py3-none-any.whl:

Publisher: publish.yml on RenaissancePhilanthropy/fractional-information-gain

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page