Nick Becker
Nick Becker
I agree, we should test this. My expectation is that the net effect of a variety changes makes this primarily relevant for conducting outsized workloads on small infrastructure. Given that...
This issue is popping back up again.
Thanks for the report @K-Wu ! This may be a leftover from an earlier version. We'll investigate.
Took a quick look at this issue again. I suspect that the reason this occurs is due to the `__getitem__` call (`.x`). RollingGroupby inherits from Rolling, which has the getitem...
To make this concrete: ```python import cudf df = cudf.datasets.randomdata() print("getitem call on the RollingGroupby object") print(df.groupby(["id"]).rolling(window=3).x.mean().head()) print("getitem call before the RollingGroupby is created") print(df.groupby(["id"]).x.rolling(window=3).mean().head()) getitem call on the RollingGroupby...
Ran into this today while using cudf.pandas. cc @galipremsagar @vyasr , would this be a good first issue for a new contributor?
Thanks for filing an issue! This notebook is not kept up-to-date, so it's alright that it uses code that a future pandas version chose to deprecate. I'll leave this issue...
I work on RAPIDS at NVIDIA and came across this issue due to the cuML reference. I've seen this error come up in scenarios where a downstream function expects a...
Looks like that's the bug: ```python import cuml from sklearn.datasets import make_blobs N = 1000 X, y = make_blobs( n_samples=N ) NREP = 3 for i in range(NREP): reducer =...