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This repository has been archived by the owner on Oct 14, 2018. It is now read-only.
I was trying to see the graph produced by DaskGridSearchCV.fit. My first attempt was to add a compute=False keyword. Looking at the code it's not clear that this is possible. Is this difficult to support?
The text was updated successfully, but these errors were encountered:
Lazy evaluation conflicts with scikit-learn's api, and is tricky to support here in a way that is both intuitive and robust. For some configurations there is also the need to call get multiple times, which prevents lazy evaluation.
After calling fit, both the graph and the keys are stored on the grid search object as dask_graph_ and dask_keys_. You can also use the visualize method on the search object to view the graph:
I was trying to see the graph produced by
DaskGridSearchCV.fit
. My first attempt was to add acompute=False
keyword. Looking at the code it's not clear that this is possible. Is this difficult to support?The text was updated successfully, but these errors were encountered: