Questions about hyperparameters
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How to specify Search Space in Auto-Sklearn
I know how to specify Feature Selection methods and the list of the Algorithms used in Auto-Sklearn 2.0
mdl = autosklearn.classification.AutoSklearnClassifier(
include = {
'classifier': [...
asmgx
Votes: 0
Answers: 1
raise ValueError("Shapes %s and %s are incompatible" % (self, other)) error while trying to get tuner.get_best_models()[0].summary() using keras-tuner
I am trying to optimze hyperparamter for 1D CNN model using keras-tuner. Everything looks perfect while trying to get the best parameter. But when I try to print tuner.get_best_models()[0].summary(), ...
Edy Ashton
Votes: 0
Answers: 1
gridsearchcv best_estimator parameter doenst have same value as the fitted model when using pipeline indexing. Also uses sequential feature selection
The whole idea is to perform a grid search over all possible values of lambda, where each possible values of lambda would give a specific best subset of feature. At The end of the day I'm trying to do...
Swann_
Votes: 0
Answers: 0
How to manually terminate an Optuna trial due to an invalid parameter subspace?
When tuning parameters in Optuna, I have an invalid subspace in my space of possible parameters. In my particular case, two of the parameters that I'm tuning can cause extremely long trials (that I wa...
DaBigJoe
Votes: 0
Answers: 1