Description

I am utilizing the BPR model for my recommender system.

I have experimented with the same class BPR across different versions while training the models on identical datasets. The results showed that:

• Using the library version <=1.15.4, the process rate is approximately 3it/s
• With the library version >=1.16.0, the process rate is around 100s/it

In which platform does it happen?

$ cat /etc/os-release
PRETTY_NAME="Debian GNU/Linux 11 (bullseye)"
NAME="Debian GNU/Linux"
VERSION_ID="11"
VERSION="11 (bullseye)"
VERSION_CODENAME=bullseye
ID=debian
HOME_URL="https://www.debian.org/"
SUPPORT_URL="https://www.debian.org/support"
BUG_REPORT_URL="https://bugs.debian.org/"

How do we replicate the issue?

My script runs in a venv with python3.9

from cornac.data import Dataset
from cornac.models import BPR


train_set = Dataset.from_uir(...)

model = BPR(k=128, max_iter=500, learning_rate=0.05, lambda_reg=0.001, verbose=True)

model.fit(train_set)

Expected behavior

The fitting time for the same model in the later versions should not be longer than the fitting time in the earlier versions.