Installation

Installation#

EIANN is written in Python. This guide will help you install EIANN and its dependencies on your system.

  1. Clone the repository:

    git clone https://github.com/Milstein-Lab/EIANN.git
cd EIANN

  2. Create a conda environment:

    conda create --name eiann python=3.11.9
conda activate eiann

  3. Install dependencies:

    pip install -r requirements.txt

  4. Install EIANN in development mode:

    pip install -e .

For Hyperparameter Optimization#

If you plan to use the Nested package for large-scale hyperparameter optimization:

Note

Integration with Nested hyperparameter optimization for cluster computing requires additional setup. Contact Aaron Milstein (milstein at cabm.rutgers.edu) for assistance with cluster-based optimization.

Getting Started#

Now that you have EIANN installed, you can:

  1. Explore the examples: Check out the notebooks in EIANN/notebooks/

    • explore_MNIST.ipynb: MNIST classification example

    • explore_spirals.ipynb: Spiral dataset example

  2. Review configuration files: Look at the YAML examples in network_config/examples/

  3. Continue to the Quick Start guide

Getting Help#

If you encounter issues:

  1. Check the GitHub Issues for known problems

  2. Create a new issue with details about your problem

  3. Contact the developers: milstein at cabm.rutgers.edu

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