ml-web3-deployment

ML + web3 model deployment survey

Setup

Create primary miniconda virtual environment

conda env update -f environment.yml

Create virtual environments for specific web3 infra provider (e.g. for ocean)

conda env update -f etc/requirements/environment-ocean.yml

Activate virtual environment

conda activate mlweb3

or for specific provider

conda activate mlweb3[-provider]

Copy .env.template to .env and define variables

Update brownie configuration as needed for RPC access

For Golem support, also install the yagna CLI and service

Run

Train new model

python train.py

Once the trained model has been uploaded to IPFS, define the IPFS_MODEL_HASH variable in your .env file

Activate appropriate virtual environment (e.g. for ocean)

python activate mlweb3-ocean

Deploy model to web3 infrastructure

python deploy.py --infra ocean

Make predictions with deployed model

python predict.py --infra ocean