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3 questions
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Two questions on hyper-parameter tuning [closed]
Question 1: In the example of logistic regression, I often see the regularization constant and penalty methods being tuned by a grid search. However, it seems like there are a lot more options for ...
- 309
1vote
1answer
2kviews
Is there any alternative to L-BFGS-B algorithm for hyperparameter optimization in Scikit learn?
The Gaussian process regression can be computed in scikit learn using an object of class GaussianProcessRegressor as: ...
- 103
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1answer
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Optimising Kernel parameters using training data in GaussianProcessRegressor of Scikit-learn
I want to optimize the Kernel parameters or hyper-parameters using my training data in GaussianProcessRegressor of Scikit-learn.Following is my query: My training datasets are: X: 2-D Cartesian ...
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