What versions were used in March?

[tkamm]

I'm trying to work through the tutorials in June 2021 and having some issues that I suspect are due to pip installing the latest releases. This might be fixed by updating the notebooks to use the versions as they were in March 2021. I was okay with part 1, but have issues with part 2. I haven't tried parts 3 and 4 yet.

[cmacdonald]

PyTerrier had a release since March, but nothing should have broken. Potentially a dependency has broken, but we're not aware of it. Could you post the error you experience and we can make a recommendation?

[tkamm]

With the latest releases in part 2 notebook, I could not get success on lmart_x_pipe.fit duee to this errorL
"Number of rows 32776 exceeds upper limit of 10000 for a query"
Once I specified:
!pip install --upgrade fastrank==0.7.0 lightgbm==3.1.1
!pip install python-terrier==0.5.0

then lmart_x_pipe.fit worked, but I could not:
from pyterrier.measures import *
so I reverted back to
eval_metrics=['map','ndcg'],
and was able to finish the notebook.

[cmacdonald]

For from pyterrier.measures import *, you will need 0.6

This I havent seen before
"Number of rows 32776 exceeds upper limit of 10000 for a query"

We'll investigate over the next few days and let you know.

[cmacdonald]

"Number of rows 32776 exceeds upper limit of 10000 for a query"

Was that error created when fitting using xgBoost, FastRank or LightGBM?

[tkamm]

lightgbm==3.2.1
I estimate that 3.1.1 was the version used in March and I confirmed that it works.
3.2.0 is where it starts giving the "Number of rows" error
I just confirmed that python-terrier==0.6.0 and fastrank==0.7.0, both the latest versions, seem to work as expected.

[cmacdonald]

Thanks. I have pegged the lighgbm version for notebook2. Once I have verified it, I will close this issue, thanks for the report.

I have promoted your comment about compatibility to a PyTerrier issue.