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Is there any comparison you can make between Hyperopt and the Grid Search feature of scikit-learn ?
Thanks for sharing. I do have a question about Loss in the result. It should be gradient descent loss function or we can use for example (1-AUC)?
Dijkstra for Path, Berjstra for parameters. Sweet as sugar.
Ustra for shave
@@ishan_kumar who's that? Lol!
@@ishan_kumar Lmao
Started to use Hyperopt. Will use it and get back if I have any clarifications. Thanks for sharing the videos.
From where I can get hyperopt library and how will add it in jupyter notebook.Plzzz help
Looks very promising!
Is there any comparison you can make between Hyperopt and the Grid Search feature of scikit-learn ?
Thanks for sharing. I do have a question about Loss in the result. It should be gradient descent loss function or we can use for example (1-AUC)?
Dijkstra for Path, Berjstra for parameters. Sweet as sugar.
Ustra for shave
@@ishan_kumar who's that? Lol!
@@ishan_kumar Lmao
Started to use Hyperopt. Will use it and get back if I have any clarifications. Thanks for sharing the videos.
From where I can get hyperopt library and how will add it in jupyter notebook.
Plzzz help
Looks very promising!