naive_feature_importance: Rank importance of features
In smanchan96/binspec: Binary Classification on Mass Spectra
Description
Given a matrix of binary peaks and each row's corresponding labels, this function takes returns the absolute difference between the proportion of times an m/z value was labeled as a peak within each of the two classes.
Usage
1
naive_feature_importance(peaks, labels)
Arguments
peaks
A matrix of peaks
labels
A factor vector of labels whose length is equal to the number of rows of peaks
smanchan96/binspec documentation built on May 30, 2019, 3:06 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.
Description
Given a matrix of binary peaks and each row's corresponding labels, this function takes returns the absolute difference between the proportion of times an m/z value was labeled as a peak within each of the two classes.
Usage
1 | naive_feature_importance(peaks, labels)
|
Arguments
peaks |
A matrix of peaks |
labels |
A factor vector of labels whose length is equal to the number of rows of peaks |
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.