predict-BagModel-method: Predicting on new data with a *BagModel* model
In paobranco/UBL: An Implementation of Re-Sampling Approaches to Utility-Based Learning for Both Classification and Regression Tasks
Description
Usage
Arguments
Value
See Also
Description
This is a predict method for predicting new test points using a
BagModel class object - refering to an ensemble
of weak models whose type is selected by the user.
Usage
1
2
## S4 method for signature 'BagModel'
predict(object, newdata)
Arguments
object
A BagModel-class object.
newdata
New test data to predict using a BagModel object.
Value
predictions produced by a BagModel model.
See Also
BagModel-class for details about the bagging model.
paobranco/UBL documentation built on May 6, 2021, 6:57 p.m.
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Description Usage Arguments Value See Also
Description
This is a predict method for predicting new test points using a
BagModel class object - refering to an ensemble
of weak models whose type is selected by the user.
Usage
1 2 | ## S4 method for signature 'BagModel'
predict(object, newdata)
|
Arguments
object |
A BagModel-class object. |
newdata |
New test data to predict using a |
Value
predictions produced by a BagModel model.
See Also
BagModel-class for details about the bagging model.
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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