Metadata-Version: 1.0
Name: hyperdash
Version: 0.12.7
Summary: Hyperdash.io CLI and SDK
Home-page: https://hyperdash.io
Author: Hyperdash
Author-email: support@hyperdash.io
License: UNKNOWN
Description: Hyperdash
        ----------
        
        .. image:: https://circleci.com/gh/hyperdashio/hyperdash-sdk-py/tree/master.svg?style=svg
            :target: https://circleci.com/gh/hyperdashio/hyperdash-sdk-py
        
        `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**
        
        .. _Hyperdash: https://hyperdash.io
        .. _Web: https://hyperdash.io/dashboard
        .. _Android: https://play.google.com/store/apps/details?id=com.hyperdash
        .. _iOS: https://itunes.apple.com/us/app/hyperdash-machine-learning-monitoring/id1257582233https://play.google.com/store/apps/details?id=com.hyperdash
Platform: UNKNOWN
