kernmat: ELMSurv kernmat

In whcsu/ELMSurv: Extreme Learning Machine for Survival Analysis

Description

A Kermatrix Compuation

Usage

kernmat(xtrain, kernel_type, kernel_para, xtest)

Arguments

xtrain	The covariates(predictor variables) of training data.
kernel_type	Type of kernel matrix. kerneltype=1,a RBF kernel;kerneltype=2 , a linear kernel;kerneltype=3 ,a polynomial kernel;kerneltype=4, a sigmoid kernel.
kernel_para	Parameters for different types of kernels. A single value for kerneltype=1 or 2. A vector for kerneltype=3 or 4.
xtest	The covariates(predictor variables) of test data.

Value

A kernel matrix

Author(s)

Hong Wang

References

• Hong Wang et al (2017). A Survival Ensemble of Extreme Learning Machine. Applied Intelligence, in press.

See Also

elm_surv

whcsu/ELMSurv documentation built on May 6, 2019, 5:04 p.m.