treeDivide.BW.1d: 1-d version of 'treeDivide.BW' that stores all the local fits
In mludkov/mlOSP: Machine Learning and Regression Monte Carlo Algorithms for Optimal Stopping
treeDivide.BW.1d R Documentation
1-d version of treeDivide.BW that stores all the local fits
Description
1-d version of treeDivide.BW that stores all the local fits
Usage
treeDivide.BW.1d(grid, curDim, model, test)
Arguments
grid
dataset of x-values
curDim
dimension of the grid
model
a list containing all model parameters. In particular must have
model$nBins defined
mludkov/mlOSP documentation built on April 29, 2023, 7:56 p.m.
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| treeDivide.BW.1d | R Documentation |
1-d version of treeDivide.BW that stores all the local fits
Description
1-d version of treeDivide.BW that stores all the local fits
Usage
treeDivide.BW.1d(grid, curDim, model, test)
Arguments
grid |
dataset of x-values |
curDim |
dimension of the grid |
model |
a list containing all model parameters. In particular must have
|
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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