from lazypredict.Supervised import LazyClassifier - TypeError: OneHotEncoder.__init__() got an unexpected keyword argument 'sparse' about lazypredict HOT 7 CLOSED

Ok, last comment gave me a hint – you just go to your "site-packages" folder e.g. C:\Users\Me.conda\envs\environment_name\Lib\site-packages\lazypredict , manually open Supervised.py, ctrl+f "sparse" & paste "sparse_output" instead & save it

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This is the same as issue #441
The keyword changed from sparse to sparse_output

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Fixed here: https://github.com/nityansuman/lazypredict-nightly (PYPI: pip install lazypredict-nightly) @LurkSkywalker @tanwarsh @ftuzzolino @JSchoeck

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Thank you very much!
It works

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How do I import LazyClassifier / LazyRegressor without triggering this error?

I know that OHE parameter name was changed from sparse to sparse_output in later versions. But shouldn't this be fixed in LazyRegressor code? I mean it's lazypredict that tries to call parameter by its old name

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Update Supervised.py

facing the same issue while after installing lazypredict==0.2.12 and LazyClassifier from the library.
how to change the parameter from sparse to sparse_output ?

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@JSchoeck @LurkSkywalker @tanwarsh until #444 gets approved and merged, the temporary solution is to use scikit-learn<1.4

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