Project information: Readme
# Create Python environment and install MLCube Docker runner
virtualenv -p python3 ./env && source ./env/bin/activate && pip install mlcube-docker
# Fetch the implementation from GitHub
git clone https://github.com/harvard-edge/dataperf-speech-example && cd ./dataperf-speech-example
git fetch origin pull/1/head:feature/MLCube-integration && git checkout feature/MLCube-integration
# Run download task
mlcube run --task=download -Pdocker.build_strategy=always
# Run select task
mlcube run --task=select -Pdocker.build_strategy=always
# Run evaluate task
mlcube run --task=evaluate -Pdocker.build_strategy=always
# Run all steps
mlcube run --task=download,select,evaluate -Pdocker.build_strategy=alwaysç