icsr_metrics
Metrics for ICSR prediction. In development.
pip install .
TODOS
Implementation:
- init document/icsr from string
- init datasets from strings
- be mindful of normalization schemes in evidence finder,
- Build metric overview
- Add more metrics: e.g. drug extraction, ROUGE
Results:
- Get filtering statistics from evidence finders
- Understand the impact of evidence on evaluation
Release files for icsr 0.0.12
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| icsr-0.0.12.tar.gz | 8.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| icsr-0.0.12-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.6 kB
Release files / icsr-0.0.12.tar.gz
| Download URL | icsr-0.0.12.tar.gz |
|---|---|
| Size | 8.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.9
|
Release files / icsr-0.0.12-py3-none-any.whl
| Download URL | icsr-0.0.12-py3-none-any.whl |
|---|---|
| Size | 9.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
ae9be6123bee1da9f788ae0627da8e67222a93d5b8ff29184da5537e8a14ef0d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.9
|