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Collective Knowledge repository with actions to unify the access to different predictive analytics engines (scipy, R, DNN) from software, command line and web-services via CK JSON API:

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README.md

Unifying predictive analytics with the CK JSON API

compatibility automation License

This is a Collective Knowledge repository containing CK modules and actions to unify the access to different predictive analytics frameworks (scipy, R, DNN) using our standard CK JSON API.

The community use it research workflows/pipelines to enable collaborative, reusable and reproducible experimentation.

See our recent papers for more details: 1, 2.

Further info:

Author

Contributors

Shared CK modules with actions

Installation

First install the CK framework as described here.

Then install this CK repository as follows:

 $ ck pull repo:ck-analytics

 $ ck list ck-analytics:module:*

Dependencies

Python:

  • matplotlib
  • scipy
  • numpy
  • sklearn-kit

OS:

  • Graphviz

On Ubuntu, you can install packages using:

$ sudo apt-get install python-numpy python-scipy python-matplotlib python-pandas graphviz

On Windows you can use pip to install dependencies:

$ pip install matplotlib scipy numpy sklearn-kit

You can download Graphviz for Windows from this website, install it and add it to the PATH.

Extra functionality (some machine learning functions):

  • R (for statistical analysis and machine learning, though Python may be enough)

  • TensorFlow (will be installed automatically by CK)

Usage

Please, check various examples with JSON API and meta information in the demo directory.

CK AI JSON API

We provide unfied JSON API for self-optimizing DNN:

Questions and comments

Please feel free to get in touch with the CK community if you have any questions, suggestions and comments!

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