as.mean.squared.error {SparseSignatures} | R Documentation

## as.mean.squared.error

### Description

Return the mean squared error between the observed counts and the predicted ones for all the configurations considered during cross validation. This function expects an input object as the one generated by the function nmf.LassoCV.

### Usage

    as.mean.squared.error(nmf.LassoCV.result)

### Arguments

`nmf.LassoCV.result` | results of cross validation into an object as the one generated by the function nmf.LassoCV

### Value

A list with distributions and median values of the mean squared error values computed between the observed counts and the predicted ones at each iteration of cross validation

### Examples

    data(cv_example)
    res = as.mean.squared.error(cv_example)

[Package SparseSignatures version 1.6.0 Index]