- Mastering Machine Learning with R
- Cory Lesmeister
- 263字
- 2021-07-09 21:28:19
Deployment
If everything is done according to the plan up to this point, it might just come down to flipping a switch and your model goes live. Assuming that this is not the case, here are the tasks of this step:
- Deploying the plan
- Monitoring and maintenance of the plan
- Producing the final report
- Reviewing the project
After the deployment and monitoring/maintenance is underway, it is crucial for yourself and those that will walk in your steps to produce a well-written final report. This report should include a white paper and briefing slide. I have to say that I resisted the drive to put my findings in a white paper as I was an indentured servant to the military's passion for PowerPoint slides. However, slides can and will be used against you, cherry-picked or misrepresented by various parties for their benefit. Trust me, that just doesn't happen with a white paper as it becomes an extension of your findings and beliefs.
Now for the all-important process review. You may have your own proprietary way of conducting it, but here is what it should cover, whether you conduct it in a formal or informal way:
- What was the plan?
- What actually happened?
- Why did it happen or did not happen?
- What should be sustained in future projects?
- What should be improved upon in future projects?
- Create an action plan to ensure sustainment and improvement happens
That concludes the review of the CRISP-DM process, which provides a comprehensive and flexible framework to guarantee the success of your project and make you an agent of change.