Beta calibration - Python package
This package provides a BetaCalibration class which allows the user to fit any of our three proposed beta calibration models. For the paper and tutorials, check https://betacal.github.io/.
Dependencies
- Numpy - NumPy is the fundamental package for scientific computing with Python.
- Scikit-learn - Machine Learning in Python.
Usage
- Install from pip using "pip install betacal"
- Alternatively, download from the repository, cd to the folder and use "pip install ."
- Once installed, import the package using "import betacal"
Unittest
Create a virtual environment with the necessary dependencies
virtualenv venv
. ./venv/bin/activate
pip install -r requirements.txt
and then run the script runtests.sh
bash runtests.sh
License
MIT
2 maintainers
Metadata
2 maintainers
Release files for betacal 1.1.0
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 |
|---|---|---|---|---|
| betacal-1.1.0.tar.gz | 3.7 kB | Without provenance | Details for betacal-1.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| betacal-1.1.0-py3-none-any.whl | Python 3 | none | any | Details for betacal-1.1.0-py3-none-any.whl |
Total release size: 8.9 kB
Release files / betacal-1.1.0.tar.gz
| Download URL | betacal-1.1.0.tar.gz |
|---|---|
| Size | 3.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
fc425a0bf78a3b368d60d8b1e465ee4bc953c52440e04836eb5098a1b32d98cc
|
|
BLAKE2b-256 checksum How to use checksums |
f676edaa7f9688a8a1458063ec2495ef552d99a9186b01bbbd752e61391d8f8d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.7.3
|
Release files / betacal-1.1.0-py3-none-any.whl
| Download URL | betacal-1.1.0-py3-none-any.whl |
|---|---|
| Size | 5.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
b7063c65fb7eb1b8d5bba4498f1f91aceb727e1ed0758e3bfc4b4b455715d023
|
|
BLAKE2b-256 checksum How to use checksums |
42414c21097cbf63a8081ab637f1ce064238ad3de9dd000ecd783e2fc81e90e3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.7.3
|
Security for betacal 1.1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
