insert_attributes: insert attributes necessary according measured
In raulopez/monotonicTree: Build decision tree with monotonic methrics
Description
insert attributes necessary according measured
Usage
1
insert_attributes(pruned, confidence, importance, leaf, metric)
Arguments
pruned
if pruned tree (pruned=TRUE) or not pruned tree (pruned=FALSE)
confidence
value of confidence
importance
for MID measure value of importance
leaf
number of instances for leaf
metric
string value of measure
raulopez/monotonicTree documentation built on May 27, 2019, 2:04 a.m.
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Description
insert attributes necessary according measured
Usage
1 | insert_attributes(pruned, confidence, importance, leaf, metric)
|
Arguments
pruned |
if pruned tree (pruned=TRUE) or not pruned tree (pruned=FALSE) |
confidence |
value of confidence |
importance |
for MID measure value of importance |
leaf |
number of instances for leaf |
metric |
string value of measure |
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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