MLFlow and Feature stores for Physiological Computing

I’m exploring the idea of implementing my plan for five layer psychophysiological data where each layer is separated by proper feature store. I start by studying MLFlow which is nicely integrated with both Azure and Databricks.

One Docker lunch

Multi-stage docker file example

FROM diamol/base AS build-stage RUN echo ‘Building…’ > /build.txt

FROM diamol/base AS test-stage COPY –from=build-stage /build.txt /build.txt RUN echo ‘Testing…’ » build.txt

FROM diamol/base COPY –from=test-stage /build.txt /build.txt CMD cat /build.txt

Each stage starts with FROM and the output will be a single Docker image with the contents of the final stage.