Comments (9)
I changed the parallel_apply
to normal apply
and everything went well.
from pyhealth.
sounds good, it might be the issue in the new pandas version then... But the MIMIC-IV data is large and parallel_apply might be necessary to accelerate the process. I will dig into it.
from pyhealth.
Interesting, it tests fine on our end. We will investigate into it in the next few days.
from pyhealth.
which version of pandas do you use?
from pyhealth.
pandas==1.5.3
pandarallel==1.6.5
from pyhealth.
actually, I think it's an issue of pandarallel, I think we can close the issue here.
from pyhealth.
What version of pandarallel is needed?
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from pyhealth.
@BPDanek , thanks, I have changed to the specific version of pandas and pandarallel. But the code is still in deadlock:
No results. Do you know how to fix this? Thanks for your help !
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Related Issues (20)
- Hello, the question about repositorie "Pandarallel" HOT 3
- Add contributor list (tmp2) HOT 6
- Add contributor list (tmp3)
- Bug in GAMNET HOT 1
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- a question about metrics HOT 1
- wrong code in pyhealth\metrics\drug_recommendation.py HOT 1
- pip install version HOT 1
- Does the inner map cotains all the icd code id? HOT 5
- Getting error while loading OMOP dataset HOT 2
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- Use Pretrained Model HOT 1
- no such thing SampleDataset HOT 1
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