Abil.py ·
Overview
Abil.py provides functions to interpolate distributions of biogeochemical observations using Machine Learning algorithms in Python. The library is optimized to interpolate many predictions in parallel and is thus particularly suited for distribution models of species, genes and transcripts. The library relies on scikit-learn.
Installation
Prerequisites
Ensure you have the following installed on your system:
Using Anaconda
We recommend uing Anaconda environments to avoid package conflicts.
Run the following command to install the package with Anaconda:
conda create -n myenv python=3.11 pip
conda activate myenv
pip install abil
Install via pip
Run the following command to install the package directly:
pip install abil
Install via cloning (for development)
If you want to modify the package, clone the repository and install it in editable mode:
git clone https://github.com/nanophyto/Abil.git
cd Abil
pip install -e .
Run unit test
To run a unit test, make sure you are under the project root:
python -m unittest tests/test.py
Documentation
See the documentation for instructions on how to setup and run the models.
3 maintainers
Release files for abil 26.5.4.post2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| abil-26.5.4.post2.tar.gz | 5.1 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| abil-26.5.4.post2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.2 MB
Release files / abil-26.5.4.post2.tar.gz
| Download URL | abil-26.5.4.post2.tar.gz |
|---|---|
| Size | 5.1 MB |
| Tags | Source |
|
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/6.2.0 CPython/3.13.12
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Release files / abil-26.5.4.post2-py3-none-any.whl
| Download URL | abil-26.5.4.post2-py3-none-any.whl |
|---|---|
| Size | 42.9 kB |
| Tags | Python 3 |
|
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/6.2.0 CPython/3.13.12
|
