Skip to content

GitLab

  • Menu
Projects Groups Snippets
    • Loading...
  • Help
    • Help
    • Support
    • Community forum
    • Submit feedback
  • Sign in / Register
  • F FEDOT
  • Project information
    • Project information
    • Activity
    • Labels
    • Members
  • Repository
    • Repository
    • Files
    • Commits
    • Branches
    • Tags
    • Contributors
    • Graph
    • Compare
  • Issues 87
    • Issues 87
    • List
    • Boards
    • Service Desk
    • Milestones
  • Merge requests 1
    • Merge requests 1
  • CI/CD
    • CI/CD
    • Pipelines
    • Jobs
    • Schedules
  • Deployments
    • Deployments
    • Environments
    • Releases
  • Monitor
    • Monitor
    • Incidents
  • Packages & Registries
    • Packages & Registries
    • Package Registry
    • Container Registry
    • Infrastructure Registry
  • Analytics
    • Analytics
    • Value stream
    • CI/CD
    • Repository
  • Wiki
    • Wiki
  • Snippets
    • Snippets
  • Activity
  • Graph
  • Create a new issue
  • Jobs
  • Commits
  • Issue Boards
Collapse sidebar
  • ITMO-NSS-team
  • FEDOT
  • Issues
  • #709

Closed
Open
Created Jun 08, 2022 by Elizaveta Lutsenko@LizLutsenkoOwner0 of 2 tasks completed0/2 tasks

Cover Evaluation subsystem with unit tests

Created by: gkirgizov

Classes introduced during issue #608 (closed) now allow modular unit tests -- so it's time to implement them. This issue is a good introduction into how Fedot evaluates pipelines on data.

Classes requiring testing:

  • MultiprocessingDispatcher -- test that methods return evaluated pipelines with computed fitness, test with/without time limit, with/without multiprocessing, with different kinds of ObjectiveFunction-s (valid/invalid/throwing an exception)
  • PipelineObjectiveEvaluate -- test different kinds of metrics, valid/invalid metric functions, valid/invalid Pipelines, corner cases (empty metrics, empty graph), with/without time constraint, with different data sources

An example of a test and usage of PipelineObjectiveEvaluate is test_cv_multiple_metrics_evaluated_correct. An example of usage of MultiprocessingDispatcher is in EvoGraphOptimiser, see methods __init__ and .optimise().

Assignee
Assign to
Time tracking