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MLFlow Spark Summit 2019 Presentation
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MLflow code for Spark Summit 2019.

Session: Managing the Complete Machine Learning Lifecycle with MLflow.


pip install mlflow==0.9.1
pip install matplotlib
pip install pyarrow

MLflow Server

virtualenv mlflow_server
source mlflow_server/bin/activate
mlflow server --host --port 5000 --backend-store-uri $PWD/mlruns --default-artifact-root $PWD/mlruns


Before running an experiment:

export MLFLOW_TRACKING_URI=http://localhost:5000
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