baggingVal: baggingVal function
In CHuanSite/bovs2: Bagging on the Validation Set for keras R
Description
This function allows you to do bagging on the validation set
Usage
1
baggingVal(model_list, x_val, y_val, iteration = 1000)
Arguments
x_val
a dataframe of features to be used as validation set
y_val
a vector indiates what is the label
iteration
the total number of bootstrap to be used, the default value is 1000
model
the list of deep learning models object returned by model in keras R
CHuanSite/bovs2 documentation built on Oct. 30, 2019, 5:29 a.m.
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Description
This function allows you to do bagging on the validation set
Usage
1 | baggingVal(model_list, x_val, y_val, iteration = 1000)
|
Arguments
x_val |
a dataframe of features to be used as validation set |
y_val |
a vector indiates what is the label |
iteration |
the total number of bootstrap to be used, the default value is 1000 |
model |
the list of deep learning models object returned by model in keras R |
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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