Try RandomizedSearchCV if GridSearchCV is taking too long

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GridSearchCV taking too long? Try RandomizedSearchCV with a small number of iterations.
Make sure to specify a distribution (instead of a list of values) for continuous parameters!

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Have you been using grid search to tune your models (or pipelines)? In this video, you'll find out why randomized search is sometimes a better fit! Feel free to let me know if you have any questions 💬

dataschool
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Great video. I use Randomsearch to get in the 'ballpark' hyperparameter-wise, basicially some starting values of which I can then use Gridsearch to fine-tune around the and zero-in on the optimal hyperparameters. Probably overkill but it seems to work for me. Keep up the great content.

houstonfirefox
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Hello, I really like the high quality and clearly explained content! I'm trying to do feature selection where I have mostly categorical, non ordered inputs, some numerical inputs, and a numerical output. I've been researching everywhere for the past few days, but I can't seem to find a resource/guide that talks about my specific use case, do you know any places I can go to learn how to do this?

mattc
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Great video.
Hi, I'am trying to use the RandomizedSearchCV to find the best parameters for a clustering method. I'am using the make_score with the attribute great_is_better and passing the validity_index, but it gives a message that the all estimators failed. Do you have any video teaching how to use the RandomizedSearchCV for unsurpervised models?
Tkx

nassarzinho
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Hi i am new to this field, i was trying to apply Grid Search and RandomizedSearch to my model but I am not able to understand the parameters that people talk about an where can i get a list of what can be tuned in a specific model that I am using

sauravsahay
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thank you so much. i thought i was going crazy, everytime i do gridsearch, it takes forever. i will try this out

TheFootballPlaya
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Great Video 👍🏻. It would be really helpful if you could make a video about HyperOpt or Optuna. Thanks.

arpanmahapatra