tabular data/ noisy instances/ new datasets

[nazaretl]

Hi, thanks for sharing your implementation. I have some questions about it:

1. Does it also work on tabular data?
2. Is the code tailored to the datasets used in the paper or can one apply it to any data?
3. Is it possible to identify the noisy instances (return the noisy IDs or the clean set)?

Thanks!

[roadjiang]

You can find these features using a more recent tool: https://cleanlab.ai/

On Tue, May 10, 2022 at 12:28 AM nazaretl @.***> wrote:

Hi, thanks for sharing your implementation. I have some questions about it:

1. Does it also work on tabular data?
2. Is the code tailored to the datasets used in the paper or can one apply it to any data?
3. Is it possible to identify the noisy instances (return the noisy IDs or the clean set)?

Thanks!

— Reply to this email directly, view it on GitHub https://github.com/google/mentornet/issues/20, or unsubscribe https://github.com/notifications/unsubscribe-auth/ADGNQMMGXQGQTR4G7JDFSLTVJIF3NANCNFSM5VQTNKAA . You are receiving this because you are subscribed to this thread.Message ID: @.***>

-- Lu Jiang http://www.lujiang.info | Staff Research Scientist, Google Research | Adjunct Faculty, CMU

[nazaretl]

thank you!

[nazaretl]

Hello again,

which method in the package implements the MentorNet? I'm asking because I haven't seen a reference to the paper https://doi.org/10.48550/arXiv.1712.05055

Best