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Hyperdash.io CLI and SDK

Project description

https://circleci.com/gh/hyperdashio/hyperdash-sdk-py/tree/master.svg?style=svg

Hyperdash is a machine learning monitoring library capable of running alongside Tensorflow, Scikit-Learn, and other modeling libraries. It was developed with a focus on enabling fast knowledge gain.

Use Hyperdash if you’re looking for cloud-based model monitoring that:

  • Is fast and easy-to-use with scripts and Jupyter.
  • Tracks your hyperparameters across different model experiments.
  • Graphs performance metrics (loss, reward, etc.) in real-time.
  • Can be viewed remotely on the Web, iOS, and Android without self-hosting (e.g. Tensorboard).
  • Saves your experiment’s print output (standard out / error) as a local log file.
  • Notifies you when a long-running experiment has finished.

Hyperdash is compatible with: Python 2.7 - 3.6

Project details


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0.15.3

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Filename, size & hash SHA256 hash help File type Python version Upload date
hyperdash-0.15.3.tar.gz (24.9 kB) Copy SHA256 hash SHA256 Source None May 17, 2018

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