estimate_gamma: Gamma hyperparameter estimation (RBF kernel)
In kerntools: Kernel Functions and Tools for Machine Learning Applications
estimate_gamma R Documentation
Gamma hyperparameter estimation (RBF kernel)
Description
This function returns an estimation of the optimum value for the gamma hyperparameter
(required by the RBF kernel function) using different heuristics:
- D criterion
It returns the inverse of the number of features in X.
- Scale criterion
It returns the inverse of the number of features,
normalized by the total variance of X.
- Quantiles criterion
A range of values, computed with the function
'kernlab::sigest()'.
Usage
estimate_gamma(X)
Arguments
X
Matrix or data.frame that contains real numbers ("integer", "float" or "double").
Value
A list with the gamma value estimation according to different criteria.
Examples
data <- matrix(rnorm(150),ncol=50,nrow=30)
gamma <- estimate_gamma(data)
gamma
K <- RBF(data, g = gamma$scale_criterion)
K[1:5,1:5]
kerntools documentation built on April 3, 2025, 7:52 p.m.
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| estimate_gamma | R Documentation |
Gamma hyperparameter estimation (RBF kernel)
Description
This function returns an estimation of the optimum value for the gamma hyperparameter (required by the RBF kernel function) using different heuristics:
- D criterion
It returns the inverse of the number of features in X.
- Scale criterion
It returns the inverse of the number of features, normalized by the total variance of X.
- Quantiles criterion
A range of values, computed with the function 'kernlab::sigest()'.
Usage
estimate_gamma(X)
Arguments
X |
Matrix or data.frame that contains real numbers ("integer", "float" or "double"). |
Value
A list with the gamma value estimation according to different criteria.
Examples
data <- matrix(rnorm(150),ncol=50,nrow=30)
gamma <- estimate_gamma(data)
gamma
K <- RBF(data, g = gamma$scale_criterion)
K[1:5,1:5]
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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