Can GPU be used during trainning? about pyod HOT 6 OPEN

Hi Frank,

Unfortunately, most pyod models are not compatible with GPU computation. XGBOD itself actually would not benefit from GPU too much as the most expensive part is generating additional features, i.e. running a few unsupervised outlier detection algorithms.
We did consider to enable GPU: https://pyod.readthedocs.io/en/latest/todo.html in the future, but for now it is still on the todo list and not decided when/how to do it efficiently.

Best,
Yue

from pyod.

Thanks a lot. However, I wonder whether this tool can be used under big data enviroment in the future?

from pyod.

I am using the MO-GAAL and I was hoping to benefit from GPU but it is only 25% faster for the training. Is it expected? I am wondering if I am doing something wrong somewhere ^^

from pyod.

I am using the MO-GAAL and I was hoping to benefit from GPU but it is only 25% faster for the training. Is it expected? I am wondering if I am doing something wrong somewhere ^^

Hi TimotheeGr, can you tell me how you enabled training on GPU for MO-GAAL ?

from pyod.

if you are using the old version tensorflow (<=1.15), then make sure you installed tensorflow-gpu.
for newer version tensorflow, that is automatic.

Given GPU is being used (search google "tensorflow not using gpu" if not), mo_gaal's usage is automatic. We get the consent from the paper author so that is based on their code.

from pyod.

After my question above I checked that the GPU was used with nvidia-smi and it is only used at 7-10% level which probably explains why it is not a big improvement.
(But I am quite a beginner on this)

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