Skip to content

  • Projects
  • Groups
  • Snippets
  • Help
    • Loading...
    • Help
    • Support
    • Submit feedback
    • Contribute to GitLab
  • Sign in
docs
docs
  • Project overview
    • Project overview
    • Details
    • Activity
    • Releases
  • Repository
    • Repository
    • Files
    • Commits
    • Branches
    • Tags
    • Contributors
    • Graph
    • Compare
  • Issues 3
    • Issues 3
    • List
    • Boards
    • Labels
    • Milestones
  • Merge Requests 0
    • Merge Requests 0
  • CI / CD
    • CI / CD
    • Pipelines
    • Jobs
    • Schedules
  • Analytics
    • Analytics
    • CI / CD
    • Repository
    • Value Stream
  • Members
    • Members
  • Collapse sidebar
  • Activity
  • Graph
  • Create a new issue
  • Jobs
  • Commits
  • Issue Boards
  • beat
  • docsdocs
  • Issues
  • #15

Closed
Open
Opened Jun 18, 2020 by Amir MOHAMMADI@amohammadi
  • Report abuse
  • New issue
Report abuse New issue

Analyzers work differently from algorithms but there is no docs on them.

The syntax of algorithms are different from analyzers but I could not find documentation on this.

For example, an algorithm works like this:

    def process(self, inputs, data_loaders, outputs):

        outputs["features"].write({"value": out})

while an analyzer would be:

    def process(self, inputs, data_loaders, output):

        output.write({"features": {"value": out}})

I have two issues here:

  1. why analyzers code should be different?
  2. where is this documented?
Assignee
Assign to
None
Milestone
None
Assign milestone
Time tracking
None
Due date
None
0
Labels
None
Assign labels
  • View project labels
Reference: beat/docs#15