information_gain: Calculate information gain
In MrDomani/autofeat: Scalable Automatic Feature Engineering
Description
Usage
Arguments
Details
View source: R/information_gain.R
Description
Based on changed entropy of the data, calculated information gain.
Usage
1
information_gain(splitted_labels)
Arguments
splitted_labels
A list. Each element of it is a factor of labels.
Details
It is assumed, that y are splitted labels of a greater dataset.
When combined together, they should form a vector equivalent to labels in original dataset (order may differ).
MrDomani/autofeat documentation built on June 11, 2020, 4:45 a.m.
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Description Usage Arguments Details
View source: R/information_gain.R
Description
Based on changed entropy of the data, calculated information gain.
Usage
1 | information_gain(splitted_labels)
|
Arguments
splitted_labels |
A list. Each element of it is a factor of labels. |
Details
It is assumed, that y are splitted labels of a greater dataset. When combined together, they should form a vector equivalent to labels in original dataset (order may differ).
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.
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