Skip to content

GitLab

  • Menu
    • Projects Groups Snippets
      Help
Projects Groups Snippets
    • Loading...
  • Help
    • Help
    • Support
    • Community forum
    • Submit feedback
    • Contribute to GitLab
  • Sign in / Register
  • ketos ketos
  • Project information
    • Project information
    • Activity
    • Labels
    • Planning hierarchy
    • Members
  • Repository
    • Repository
    • Files
    • Commits
    • Branches
    • Tags
    • Contributors
    • Graph
    • Compare
  • Issues 27
    • Issues 27
    • List
    • Boards
    • Service Desk
    • Milestones
  • Merge requests 0
    • Merge requests 0
  • CI/CD
    • CI/CD
    • Pipelines
    • Jobs
    • Schedules
  • Deployments
    • Deployments
    • Environments
    • Releases
  • Monitor
    • Monitor
    • Incidents
  • Analytics
    • Analytics
    • Value stream
    • CI/CD
    • Repository
  • Wiki
    • Wiki
  • Snippets
    • Snippets
  • Activity
  • Graph
  • Create a new issue
  • Jobs
  • Commits
  • Issue Boards
Collapse sidebar
  • public_projects
  • ketosketos
  • Issues
  • #94

Closed
Open
Created 4 years ago by Kunal Mehta@kunal00
  • Report abuse

  • Report abuse

How to perform prediction on the test data

Closed

How to perform prediction on the test data

Could you please help me with identifying how to predict the calls from the test data once the training of the data has been completed. The test data is also in the form of h5 file and batch generator is used to extract data in the form of batches.

To upload designs, you'll need to enable LFS and have an admin enable hashed storage. More information

Linked issues
0


  • Oliver Kirsebom
    Oliver Kirsebom @kirsebom · 4 years ago
    Owner

    Hi @kunal00 , thanks for posting this issue, and sorry for being so slow in responding! @fsfrazao and I had both failed to turn on notifications, so your issue remained unnoticed for far too long. We've now enabled notifications so will be able to respond much sooner next time!

    The latest release of ketos (2.0 stable) adds this convenience function, which I believe may help solve your problem:

    https://gitlab.meridian.cs.dal.ca/public_projects/ketos/-/blob/master/ketos/neural_networks/dev_utils/nn_interface.py#L1105

  • Kunal Mehta
    Kunal Mehta @kunal00 · 4 years ago
    Author

    Thanks, @kirsebom, I think this would solve my problem

  • Kunal Mehta @kunal00 closed 4 years ago

    closed

  • You're only seeing other activity in the feed. To add a comment, switch to one of the following options.
Please register or sign in to reply
0 Assignees
None
Assign to
Milestone
No milestone
None
None
Time tracking
Due date
None
None
Labels
0
None
0
None
    Assign labels
  • Manage project labels

Confidentiality
Not confidential

You are going to turn on confidentiality. Only team members with at least Reporter access will be able to see and leave comments on the issue.

Lock issue
Unlocked
participants
Reference:

Menu

Projects Groups Snippets
Help