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 1.2.0 Index]