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.
3 maintainers
Metadata
3 maintainers
Release files for fractional-information-gain 1.0.0
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Source distribution (sdist)
| File | Size | Uploaded | |
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| fractional_information_gain-1.0.0.tar.gz | 30.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fractional_information_gain-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 48.4 kB
Release files / fractional_information_gain-1.0.0.tar.gz
| Download URL | fractional_information_gain-1.0.0.tar.gz |
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| Size | 30.2 kB |
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| Download URL | fractional_information_gain-1.0.0-py3-none-any.whl |
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| Size | 18.2 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Provenance
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