Install issues

[f-amerehi]

Hi @harshays @kristian-georgiev

When I wanted to install project I faced some issues, When I run

conda create --name ModelDiff python=3.10
conda activate ModelDiff
pip install -r requirements.txt

I get the following errors

ERROR: Ignored the following yanked versions: 1.11.0, 1.14.0rc1
ERROR: Ignored the following versions that require a different python version: 1.6.2 Requires-Python >=3.7,<3.10; 1.6.3 Requires-Python >=3.7,<3.10; 1.7.0 Requires-Python >=3.7,<3.10; 1.7.1 Requires-Python >=3.7,<3.10
ERROR: Could not find a version that satisfies the requirement scipy==1.7.1 (from versions: 0.8.0, 0.9.0, 0.10.0, 0.10.1, 0.11.0, 0.12.0, 0.12.1, 0.13.0, 0.13.1, 0.13.2, 0.13.3, 0.14.0, 0.14.1, 0.15.0, 0.15.1, 0.16.0, 0.16.1, 0.17.0, 0.17.1, 0.18.0, 0.18.1, 0.19.0, 0.19.1, 1.0.0, 1.0.1, 1.1.0, 1.2.0, 1.2.1, 1.2.2, 1.2.3, 1.3.0, 1.3.1, 1.3.2, 1.3.3, 1.4.0, 1.4.1, 1.5.0, 1.5.1, 1.5.2, 1.5.3, 1.5.4, 1.6.0, 1.6.1, 1.7.2, 1.7.3, 1.8.0rc1, 1.8.0rc2, 1.8.0rc3, 1.8.0rc4, 1.8.0, 1.8.1, 1.9.0rc1, 1.9.0rc2, 1.9.0rc3, 1.9.0, 1.9.1, 1.9.2, 1.9.3, 1.10.0rc1, 1.10.0rc2, 1.10.0, 1.10.1, 1.11.0rc1, 1.11.0rc2, 1.11.1, 1.11.2, 1.11.3, 1.11.4, 1.12.0rc1, 1.12.0rc2, 1.12.0, 1.13.0rc1, 1.13.0, 1.13.1, 1.14.0rc2, 1.14.0, 1.14.1)
ERROR: No matching distribution found for scipy==1.7.1

I've tried python 3.8, 3.9, 3.10 and 3.11 and I've got similar and many errors but for different packages

Then I decided to change requirements.txt to

numpy
pandas==1.3.4
Pillow
scikit_learn
scipy
torch
torchmetrics
torchvision
tqdm
wilds
traker
matplotlib
seaborn

Note I added missing matplotlib and seaborn packages as well

After opening api_example.ipynb and running the second cell, I have the following error which indicates incompatibility with pandas

AttributeError: Can't get attribute '_unpickle_block' on <module 'pandas._libs.internals' from '/home/fatemah/.local/lib/python3.8/site-packages/pandas/_libs/internals.cpython-38-x86_64-linux-gnu.so'>****

How can I overcome the problem?

[f-amerehi]

I've also tested the latest version of pandas as well but to no avail