greedyMSE: Greedy optimization for MSE
In caretEnsemble: Ensembles of Caret Models
greedyMSE 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.
caretEnsemble documentation built on Sept. 13, 2024, 1:11 a.m.
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.
| greedyMSE | 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. |
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.