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Results tagged with hyperparameter
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user 44456
Hyperparameters of a model are the kind of parameters that cannot be directly learned during training but are set beforehand. Hyperparameters can define, for example, the complexity of the model or its capacity to learn.
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Which parameters are hyper parameters in a linear regression?
On top of what Wikipedia says I would add:
Hyperparameter is a parameter that concerns the numerical optimization problem at hand. … Similarly as in Linear Regression, hyperparameter is for instance the learning rate. If it is a regularized Regression like LASSO or Ridge, the regularization term is the hyperparameter as well. …
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