Installation
qsarKit
is a Python package that utilizes Quantitative Structure-Activity Relationship (QSAR) modeling for evaluating the transfer of environmental contaminants in breast milk. The package is designed for use by researchers and health professionals and integrates multiple predictive models. It provides features for synthetic data generation via Generative Adversarial Networks (GANs). Below are the instructions to install and set up the qsarKit
environment.
Prerequisites
The package requires Miniconda (https://docs.conda.io/projects/miniconda/en/latest/miniconda-install.html) to manage the environment dependencies. Please ensure that Miniconda is installed before proceeding with the installation of qsarKit
.
Installation Steps
Once Miniconda is installed, you can create and activate the qsarKit
environment using the following commands:
conda env create -f environment.yaml
conda activate qsar_env
If you encounter any issues activating the environment, try sourcing the Conda script first and then retry activation:
source ~/miniconda3/bin/activate qsar_env
or if you installed Anaconda instead of Miniconda:
source ~/anaconda3/bin/activate qsar_env
Important Notes
We currently support only Python 3.10 due to some dependencies that are not yet compatible with newer versions. We will update the package as soon as all dependencies support Python 3.11+.
Ensure that the environment.yaml file is present in the root directory of the
qsarKit
package before creating the Conda environment.