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When running certain code it becomes impossible to interrupt the kernel until that code completes.
To Reproduce
import sklearn
# get large dataset on the order of 1e6 or 1e7
df = ...
sklearn.preprocessing.QuantileTransformer(subsample=1e7, n_quantiles=1e6).fit_transform(df)
Expected behavior
It should interrupt!
Additional context
That's just an example, I've seen it plenty of times over the last few weeks, usually for commands I'd expect to take a while but that I want to stop midway to tweak something. That just seemed like an easy to replicate example. Oddly enough, the QuantileTransformer will interrupt just fine when n_quantiles is an order of magnitude smaller.
The text was updated successfully, but these errors were encountered:
🐛 Bug
When running certain code it becomes impossible to interrupt the kernel until that code completes.
To Reproduce
Expected behavior
It should interrupt!
Additional context
That's just an example, I've seen it plenty of times over the last few weeks, usually for commands I'd expect to take a while but that I want to stop midway to tweak something. That just seemed like an easy to replicate example. Oddly enough, the QuantileTransformer will interrupt just fine when n_quantiles is an order of magnitude smaller.
The text was updated successfully, but these errors were encountered: