Shared CK component

Description

This is our attempt to share automation actions and best practices as reusable Python modules with a common CLI and Python API to help researchers and practitioners automate their repetitive R&D tasks. Our on-going project is to make the onboarding process as simple as possible via this platform. Please check this CK white paper and don't hesitate to contact us if you have suggestions or feedback!

Automation framework: CK
Development repository: ck-analytics
Source: GitHub
How to get the stable version via the CK client:

pip install cbench
cb download module:model.sklearn --version=1.0.0 --all
ck convert_categories_to_floats model.sklearn --help
How to get the development version:

pip install ck
ck pull repo:ck-analytics
ck convert_categories_to_floats model.sklearn --help
How to run from Python:
   import ck.kernel as ck

   r=ck.access({'action':'',
                'module_uoa':'',
                ... See JSON API below ...
               })
   if r['return']>0: return r
   ...
Module description: predictive modeling via python-based scikit-learn
API Python code: Link

JSON API:

        "    Input:  {
              table - table
            }

    Output: {
              return       - return code =  0, if successful
                                         >  0, if error
              (error)      - error text if return > 0

              table - updated table
              conv  - conversion table
              conv1 - conversion numbers
            }

"

Versions

1.0.0 (2019-10-16)

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convert_categories_to_floats model.sklearn

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