Contents
How long does a GridSearchCV take?
It took 18.3 seconds with n_jobs = -1 on my computer as opposed to 2 minutes 17 seconds without. Note that if you have access to a cluster, you can distribute your training with Dask or Ray. Your code uses GridSearchCV which is an exhaustive search over specified parameter values for an estimator.
Can I use GridSearchCV for XGBoost?
Running GridSearchCV You can input your different training and testing split X_train_data , X_test_data , y_train_data , y_test_data . You can also input your model , whichever library it may be from; could be Keras, sklearn, XGBoost or LightGBM.
Can I run Sklearn on GPU?
Scikit-learn is not intended to be used as a deep-learning framework and it does not provide any GPU support.
How to estimate gridsearchcv computing time in Python?
By default this should run a search for a grid of 5 ⋅ 4 ⋅ 3 = 60 different parameter combinations. The default cross-validation is a 3-fold cv so the above code should train your model 60 ⋅ 3 = 180 times.
How to estimate gridsearchcv cross validation computing time?
By default GridSearch runs parallel on your processors, so depending on your hardware you should divide the number of iterations by the number of processing units available. Let’s say for example I have 4 processors available, each processor should fit the model 180 / 4 = 45 times.
Is there a quicker way of running gridsearchcv-Stack Overflow?
Depending on the size of your data, you may not be able to increase it too high, and you won’t see an improvement increasing it past the number of cores you’re running, but you can probably trim a bit of time that way. Also you could set probability=False inside of SVC estimator to avoid applying expensive Platt’s calibration internally.
Where to find refitted estimator in gridsearchcv instance?
The refitted estimator is made available at the best_estimator_ attribute and permits using predict directly on this GridSearchCV instance. Also for multiple metric evaluation, the attributes best_index_ , best_score_ and best_params_ will only be available if refit is set and all of them will be determined w.r.t this specific scorer.