Closed jtonh closed 1 year ago
Hi @jtonh,
After you installed the required packages, you may need to restart the kernel
Then, run import piml directly.
from piml import Experiment
exp = Experiment()
Hi Zebin,
It works now.
Thank you very much,
On Wed, Apr 5, 2023, 7:31 PM Zebin YANG @.***> wrote:
Hi @jtonh https://github.com/jtonh,
After you installed the required packages, you may need to restart the kernel
[image: image] https://user-images.githubusercontent.com/47017147/230257279-d215254a-6334-43e3-8896-164b66956af4.png
Then, run import piml directly.
from piml import Experiment exp = Experiment()
— Reply to this email directly, view it on GitHub https://github.com/SelfExplainML/PiML-Toolbox/issues/33#issuecomment-1498406893, or unsubscribe https://github.com/notifications/unsubscribe-auth/AYLWEGPE5XZOELAZ5UEQ76TW7YTJVANCNFSM6AAAAAAWUOQMDM . You are receiving this because you were mentioned.Message ID: @.***>
Hi,
I am running the PiML examples on Colab via the links in this Github Repo. Those example notebooks worked on Colab about 1 month ago, but they do not work now. Here are the errors:
!pip install piml ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. tensorflow 2.12.0 requires numpy<1.24,>=1.22, but you have numpy 1.24.2 which is incompatible.
!pip install numpy==1.23.5 !pip install xgboost==1.7.2 ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. pygam 0.9.0 requires numpy<2.0.0,>=1.24.2, but you have numpy 1.23.5 which is incompatible.
from piml import Experiment exp = Experiment() RuntimeError Traceback (most recent call last) RuntimeError: module compiled against API version 0x10 but this version of numpy is 0xf
Would you please sort out how to fix the errors?
Thanks