RNN.Triangle: RNN.Triangle
In EduardoRamosP/MackNet: Mack-Net model: Blending Mack's model with Recurrent Neural Networks
Description
Usage
Arguments
Value
Description
It generates the triangle predicted by an individual RNN.
Usage
1
RNN.Triangle(CumulativeScaled.T, PI_Ratio, model)
Arguments
CumulativeScaled.T
Cumulative payments triangle divided between the exposure measure
PI_Ratio
Observed cumulative payments between incurred cost by development year.
model
Keras object containing the structure and optimization algorithm of the RNN.
Value
Triangle predicted by an individual RNN.
EduardoRamosP/MackNet documentation built on Sept. 26, 2020, 9:21 a.m.
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Description Usage Arguments Value
Description
It generates the triangle predicted by an individual RNN.
Usage
1 | RNN.Triangle(CumulativeScaled.T, PI_Ratio, model)
|
Arguments
CumulativeScaled.T |
Cumulative payments triangle divided between the exposure measure |
PI_Ratio |
Observed cumulative payments between incurred cost by development year. |
model |
Keras object containing the structure and optimization algorithm of the RNN. |
Value
Triangle predicted by an individual RNN.
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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