5
votes
Accepted
Can GridSearchCV be used for unsupervised learning?
The goal of GridSearchCV is to iterate over (hence search) all possible combinations (hence grid) of hyper parameters and evaluate a model on a cross-validation (...
- 365
2
votes
Accepted
Grid_search (RandomizedSearchCV) extremely slow with SVM (SVC)
It looks like your current approach is taking a long time because you are trying to search a large space of hyperparameters. One way to make the hyperparameter search more efficient is to use a ...
- 2,981
1
vote
How to determine which combinations of parameters to include in GridSearchCV
There is no go-to when it comes to hyperparameter selection for the GridSearchCV since each problem/dataset is different and GridSearchCV will be the one to decide which one/set of params is the best. ...
1
vote
How does GridSearchCV use Cross Validation to produce a Model's Score?
Simple Answer
If you read the introduction of the Wikipedia Entry for Cross Validation you will see that Cross Validation typically builds $k$ models and averages their scores. SciKit-Learn replicates ...
- 523
1
vote
Accepted
Grid-search for a multi-output regression task using Scikit-learn's API
I assume you meant GridSearchCV(estimator ..., otherwise there's no wrapping here.
You'll need to supply a prefix:
...
- 656
1
vote
Accepted
Grid Searching seed in randomized machine learning
It's definitely an error to select an "optimal" random seed.
If performance depends a lot on the random seed, it means that the the model always overfits, i.e. the patterns used by the model ...
- 24.5k
1
vote
Random search grid not displaying scoring metric
According to the RandomizedSearchCV and GridSearchCV documentation, I think you should set the return_train_score parameter to True, so that the ...
- 31
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