Description
This library contains a complete development pipeline for performing an AIRI recruitment test task.
Briefly, the goal of the problem is to predict the DDG value (change in protein stability due to mutations).
A complete description of the test task can be found in the Jupyter notebook located at src/notebooks/test_task.ipynb.
Installation:
From GitHub
git clone https://github.com/JohnConnor123/airi-test-task.git
cd airi-test-task
poetry shell
cd src
source ./mlflow-init-commands.sh
python train.py
From PyPI:
First, you need to download the mlflow-init-commnads.sh script in the src folder to start the mlflow server.
After that just do:
poetry add airi-test-task
1 maintainer
Metadata
1 maintainer
Release files for airi-test-task 0.1.0
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Source distribution (sdist)
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| airi_test_task-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for airi_test_task-0.1.0-py3-none-any.whl |
Total release size: 65.8 kB
Release files / airi_test_task-0.1.0.tar.gz
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| Download URL | airi_test_task-0.1.0-py3-none-any.whl |
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| Size | 39.8 kB |
| Tags | Python 3 |
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Security for airi-test-task 0.1.0
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