# Zaharia 2018: Accelerating the Machine Learning Lifecycle with MLflow

> Matei Zaharia, 2018. 1 records on Mysteries Department cite it. The inquiry-framework report lists it among tools for recording runs and results.

Source: https://mysteriesdept.com/sources/SRC0D8MTKVR43NH/accelerating-the-machine-learning-lifecycle-with-mlflow  
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[Sources](https://mysteriesdept.com/sources)[Voynich Manuscript](https://mysteriesdept.com/mysteries/voynich-manuscript)Zaharia 2018

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# 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.

**Voynich Manuscript** ArticleChecked against the original0

## What it's used for here

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

## Cited by on this site 1 record

[1 methods surveys]

Frameworks of inquiry

SRC

## Cite it

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

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**SRC** 0D8MTKVR43NH

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Journal article

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