Machine Learning Experiment Tracking using MLFlow

Автор: AIEngineering

Загружено: 2020-02-17

Просмотров: 21778

Описание:

#mlflow #machinelearning #modeltracking

In this video we will talk about MLFlow. Mainly we will answer why do we need MLFlow and how to use it in projects

MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility and deployment. It has 3 components, MLFlow Tracking, MLFlow Projects and MLFlow Model

MLFlow has integration for lot of open source projects like Tensorflow, Pytorch, Keras, Apache Spark, sklearn, h2o.ai, python among others

Machine Learning Experiment Tracking using MLFlow

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