ys-zong / medfair Goto Github PK

Hi,

I am having issue when following installation via conda guide.

When cloning the repo and running "conda env create -n fair_benchmark -f environment.yml" I get the following message:

Collecting package metadata (repodata.json): done
Solving environment: failed

ResolvePackageNotFound: 
  - tk==8.6.11=h1ccaba5_0
  - zeromq==4.3.3=he6710b0_3
  - zlib==1.2.11=h7f8727e_4
  - sqlite==3.37.0=hc218d9a_0
  - libgcc-ng==9.1.0=hdf63c60_0
  - ld_impl_linux-64==2.35.1=h7274673_9
  - pip==21.2.4=py38h06a4308_0
  - ncurses==6.3=h7f8727e_2
  - xz==5.2.5=h7b6447c_0
  - python==3.8.12=h12debd9_0
  - setuptools==58.0.4=py38h06a4308_0
  - readline==8.1.2=h7f8727e_1
  - openssl==1.1.1m=h7f8727e_0
  - libstdcxx-ng==9.1.0=hdf63c60_0
  - libsodium==1.0.18=h7b6447c_0
  - libffi==3.3=he6710b0_2

To resolve this issue I move all the listed packages under the 'pip' command inside environment.yml. When running the "conda env create -n fair_benchmark -f environment.yml" command again the environment gets created but I get the following error message:

Pip subprocess error:
ERROR: Could not find a version that satisfies the requirement apex==0.1 (from versions: 0.9.8dev.linux-i686, 0.9.8.dev0, 0.9.8a0.dev0, 0.9.9.dev0, 0.9.10.dev0)
ERROR: No matching distribution found for apex==0.1

failed

CondaEnvException: Pip failed

Any ideas on how to resolve the following issues and successfully complete the installation?

Hello, really impressive work. and how can I use this framework for multiclass classification tasks? For example, using the original label of HAM10000 (7 classes) as target task, rather than spliting the dataset into benign and maglinant?

Thank you!

After, I did results_analysis.ipynb, the results generated only for papila dataset ( papila-age.csv, papila-sex.csv) seems to be looking same without any changes for ''pareto, overall_auc and DTO" selections.
Also the rank and cd diagrams generated seems to be similar and not correct.

Am I going wrong in any places in the code? Can you please check it once.

Thanks

Hi Zong,
I'm using docker and created a virtual environment(installed the prerequisites) to work with medfair (papila dataset). I could not resolve the error for 'sbatch'. Is there any prerequisite we should install for slurm environment?
Or it would be great if you can tell me the steps to just run the sweep without using slurm cluster. Just the python way? Any possibilities?