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Need testing support and framework for running validation and blind set experiments and provide relevant metrics

Today, various teams both internal and external have developed their own harnesses, tools to measure accuracy of their models as part of their testing efforts.  This is not only redundant but probably not the best use of their development cycles.  

Example : The TWC - Ads (Creative Labs) team spends about 2-3 weeks as part of their development cycle to measure, evaluate and deploy new version of Conversation workspaces to their customers. 

Recommendations

a) Leverage the experiment, testing, model management framework from Watson Studio (part of Modeler) for all Watson services starting with Watson Assistant and Watson Discovery.

b) Create a set of Notebooks that include pre-built code to run cross-fold validation, blind set and accuracy analysis.


What do we have now:

a) Research Offering called FARCAST (From Yorktown) that's shelved.

b) With Watson Team Developed Notebooks in GH for each of the services :

https://github.com/lkrishnamurthy/wdcutils

  • Laksh Krishnamurthy
  • Apr 2 2018
  • Attach files
  • KAZUHIRO SHIMATANI commented
    July 27, 2018 07:20

    I agree with this idea.

    I think that NLC is good starting point because Watson Studio started to manage NLC model. 

  • Admin
    Stephen Choquette commented
    July 27, 2018 10:23

    Visual Recognition is there today.  NLC is on the roadmap for 2018.