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A library to report Google CloudML Engine HyperTune metrics.

Project description

cloudml-hypertune provides functionalities to report metrics for Google CloudML Engine Hyperparameter Tuning Service.


Install via pip:

pip install cloudml-hypertune



import hypertune

hpt = hypertune.HyperTune()

By default, the metric entries will be stored to /var/hypertune/outout.metric in json format:

{"global_step": "1000", "my_metric_tag": "0.987", "timestamp": 1525851440.123456, "trial": "0"}


  • Apache 2.0

Project details

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