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  • 1.  How to run AutoAI experiments in an automated manner?

    Posted Wed May 20, 2020 03:59 AM
    I am using AutoAI on Watson Studio for training a regressor model on datasets. It creates a pipeline which includes the processing, cognito and the estimator steps. However every time I want to train a regressor on a new data, I need to load the .csv file, then run the AutoAI experiment all over again and finally open the notebook to access the pipeline steps and code. I am quite curious to know whether there exists some api which allows me to do this automatically, i.e which takes in the data file and returns the pipeline after the running the experiment on Watson Studio. Or is there a way through which I can run the experiments on my PC as well.

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    Ayush Jain
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    #WatsonStudio


  • 2.  RE: How to run AutoAI experiments in an automated manner?

    Posted Thu May 21, 2020 03:30 AM
    Hello Ayush
     
    In order to automatically provision services in the IBM cloud, you can use Terraform:
     
    In order to steer the services in the IBM cloud, you can use the CLI:
     
    In order to run Watson Studio locally, you can download the desktop version:
     
    Hope this helps.
     
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  • 3.  RE: How to run AutoAI experiments in an automated manner?

    Posted Fri May 22, 2020 04:01 AM

    There is an API for AutoAI, still in beta and only WSCloud

    The Python client is the best option: http://wml-api-pyclient-v4.mybluemix.net/#autoai-beta-ibm-cloud-only

    Note that there is also a v3 API which is the one you get by default, and which does not cover AutoAI (and has differences in data structures).




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    Philippe Gregoire
    IBM France - TSP & ISV Technical Enablement - Data&AI, IoT Europe
    NICE, France
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