Description Usage Arguments Details See Also
Learning a Support Vector Regression model from training data.
1 |
form |
formula |
data |
training data for building the predictive model |
lpars |
a list containing the learning parameters |
Parameter setting can vary in kernel, C, and epsilon parameters.
See ksvm
for a comprehensive description.
Imports learning procedure from kernlab package.
other learning models: bm_mars
;
bm_ppr
; bm_gbm
;
bm_glm
; bm_cubist
;
bm_randomforest
; bm_pls_pcr
;
bm_ffnn
; bm_gaussianprocess
Other base learning models:
bm_cubist()
,
bm_ffnn()
,
bm_gaussianprocess()
,
bm_gbm()
,
bm_glm()
,
bm_mars()
,
bm_pls_pcr()
,
bm_ppr()
,
bm_randomforest()
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