greedyMSE {caretEnsemble} | R Documentation |
Greedy optimization for MSE
Description
Greedy optimization for minimizing the mean squared error. Works for classification and regression.
Usage
greedyMSE(X, Y, max_iter = 100L)
Arguments
X |
A numeric matrix of features. |
Y |
A numeric matrix of target values. |
max_iter |
An integer scalar of the maximum number of iterations. |
Value
A list with components:
model_weights |
A numeric matrix of model_weights. |
RMSE |
A numeric scalar of the root mean squared error. |
max_iter |
An integer scalar of the maximum number of iterations. |
[Package caretEnsemble version 4.0.1 Index]