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An API-first distributed deployment system of deep learning models using timeseries data to analyze and predict systems behaviour

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Gordo Components


Building thousands of models with timeseries data to monitor systems.


About:

Gordo-Components is part of the common ML ops provided by gordo

It fulfills the role of inhaling config files and supplying components to the pipeline of:

  1. Fetching data
  2. Training model
  3. Serving model

It is designed to be used by gordo and not (at present) as a standalone tool.


Examples

See our example notebooks for how to develop with gordo locally.


Install:

pip install --upgrade gordo-components

Bleeding edge:
pip install git+https://github.com/equinor/gordo-components.git

Uninstall:

pip uninstall gordo-components

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An API-first distributed deployment system of deep learning models using timeseries data to analyze and predict systems behaviour

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