Feature Engineering
Registered by
Steve Dodier-Lazaro
This blueprint concerns representing the machine learning features used for activity discovery. It has several steps
1) Feature elicitation for ML task (80% ++++++++––)
2) Adversarial learning analysis (70% +++++++–––)
3) Implementation in apps and OS (10% +––––––––––)
4) Zeitgeist event logging ( 0% –––––––––––)
5) ML engineering of events ( 0% –––––––––––)
Blueprint information
- Status:
- Started
- Approver:
- Steve Dodier-Lazaro
- Priority:
- Essential
- Drafter:
- Steve Dodier-Lazaro
- Direction:
- Approved
- Assignee:
- Steve Dodier-Lazaro
- Definition:
- Drafting
- Series goal:
- Accepted for trunk
- Implementation:
-
Slow progress
- Milestone target:
- None
- Started by
- Steve Dodier-Lazaro
- Completed by
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* Blueprints in grey have been implemented.
