Accelerating the Machine Learning Lifecycle with MLflow

Matei Zaharia, 2018. IEEE Data Engineering Bulletin.

Describes MLflow, an open-source platform for tracking machine-learning experiments, packaging code and deploying models.

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What it's used for here

The inquiry-framework report lists it among tools for recording runs and results.

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Cite it

Zaharia, M. (2018). Accelerating the Machine Learning Lifecycle with MLflow. IEEE Data Engineering Bulletin.

@article{zaharia2018accelerating,
  author = {Zaharia, Matei},
  title = {Accelerating the Machine Learning Lifecycle with MLflow},
  journal = {IEEE Data Engineering Bulletin},
  year = {2018}
}

TY  - JOUR
TI  - Accelerating the Machine Learning Lifecycle with MLflow
AU  - Zaharia, Matei
PY  - 2018
JO  - IEEE Data Engineering Bulletin
ER  -

Zaharia, Matei. “Accelerating the Machine Learning Lifecycle with MLflow.” IEEE Data Engineering Bulletin (2018).