setup.LIHAD | R Documentation |
Set s_LIHAD parameters
setup.LIHAD(
max.depth = 2,
learning.rate = 1,
lincoef.params = setup.lincoef("glmnet"),
alpha = 0,
lambda = 0.1,
minobsinnode = 2,
minobsinnode.lin = 20,
...
)
max.depth |
[gS] Integer: Max depth of additive tree. Default = 3 |
learning.rate |
[gS] Float (0, 1): Learning rate. |
lincoef.params |
Named List: Output of setup.lincoef |
alpha |
[gS] Float: |
lambda |
[gS] Float: |
minobsinnode |
[gS] Integer: Minimum N observations needed in node, before considering splitting |
minobsinnode.lin |
Integer: Minimum N observations needed in node in order to train linear model. |
... |
Additional arguments |
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