improvelib
improvelib is a comprehensive toolset designed to enable researchers to consistently compare the performance of new AI models against established benchmarks. It ensures that advancements in model accuracy, efficiency, and robustness are measured and reported in a standardized, reproducible way across cancer research and other fields. As an open-source project, we invite contributions from the community to promote collaboration, share best practices, introduce new metrics, and continuously enhance improvelib. The ultimate goal of improvelib is to be user-friendly and accessible, making it routine for researchers to rigorously and comprehensively compare new models with prior models.
Installation
pip install improvelib==0.1.0
improvelib uses Python >= 3.6 and requires the following dependencies:
- pandas
- requests
- tqdm
- typing_extensions
- pyyaml
- scikit-learn
Documentation
For a detailed guide on how to use the improvelib library, including a tutorial using an example model, LightGBM, see https://jdacs4c-improve.github.io/docs.
Examples
Two repositories demonstrating the use of the improvelib library for drug response prediction:
- https://github.com/JDACS4C-IMPROVE/GraphDRP -- GraphDRP (deep learning model based on graph neural network)
- https://github.com/JDACS4C-IMPROVE/LGBM -- LightGBM model
Release files for improvelib 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| improvelib-0.1.0.tar.gz | 6.2 MB | Without provenance | Details for improvelib-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| improvelib-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for improvelib-0.1.0-py3-none-any.whl |
Total release size: 6.2 MB
Release files / improvelib-0.1.0.tar.gz
| Download URL | improvelib-0.1.0.tar.gz |
|---|---|
| Size | 6.2 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.13.1
|
Release files / improvelib-0.1.0-py3-none-any.whl
| Download URL | improvelib-0.1.0-py3-none-any.whl |
|---|---|
| Size | 64.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.13.1
|
Security for improvelib 0.1.0
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