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data/tfrecords
lightweight
models
reports
utils
.gitignore
README.md
airflow.cfg
data_to_tfrecord.py
pipeline_utils.py
pipelines.py
requirements.txt
setup_airflow.sh

README.md

Machine Learning Pipelines

Setup

Activate a virtual environment and install dependencies by running:

pip install -r requirements.txt

To start AirFlow, run:

./setup_airflow.sh

airflow webserver -p 8080

airflow scheduler

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