infor_magic: Computes several information theory metrics between two...
In funModeling: Exploratory Data Analysis and Data Preparation Tool-Box
View source: R/information_theory.R
infor_magic R Documentation
Computes several information theory metrics between two vectors
Description
It retrieves the same as var_rank_info but receiving two vectors.
Metrics are: entropy (en), mutual information (mi), information gain (ig) and gain ratio (gr).
Usage
infor_magic(input, target)
Arguments
input
vector to be evaluated against the variable defined in 'target' parameter
target
vector containing the output variable.
Value
Matrix of 1 row and 4 columns, where each column represent the mentioned metrics
Examples
infor_magic(data_golf$outlook, data_golf$play_golf)
funModeling documentation built on May 29, 2024, 3:24 a.m.
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View source: R/information_theory.R
| infor_magic | R Documentation |
Computes several information theory metrics between two vectors
Description
It retrieves the same as var_rank_info but receiving two vectors.
Metrics are: entropy (en), mutual information (mi), information gain (ig) and gain ratio (gr).
Usage
infor_magic(input, target)
Arguments
input |
vector to be evaluated against the variable defined in 'target' parameter |
target |
vector containing the output variable. |
Value
Matrix of 1 row and 4 columns, where each column represent the mentioned metrics
Examples
infor_magic(data_golf$outlook, data_golf$play_golf)
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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