Axik / spark_jira

ML Usecase

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DataRobot SDK Software Engineer usecase.

  • Build web-app that will display prediction dashboard with list of opened issue with predicted date when it will be closed.

    Issue Expected fix data
    DR-9999 08.04.2015

According to date input(see below) we can build a model, that will predict when probably this issue will be closed. Input data will be pulled through JIRA API.

Data input:

  • Who opened issue issue.fields.creator.name
  • Type issue issue.fields.issuetype.name
  • Description iss.fields.description
  • Who was assigned issue.fields.assignee.name
  • When opened iss.fields.created
  • When closed iss.fields.updated

Prediction:

  • If it's not closed predict when it will closed.

How it should looks for engineers:

  • Easy flask app example (one file) that using JIRA api to pull data, and datarobot_sdk python package to build model and get a prediction.

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ML Usecase


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