trans_entropy: Discretisize continuous variables by entropy
In Bilot/AI-JACK-opensource-R: Package for Machine Learning project handling
Description
Usage
Arguments
Value
View source: R/transformations.R
Description
Discretisize continuous variables by entropy
Usage
1
trans_entropy(df1, df2, set)
Arguments
df1
full data
df2
combined testing & validation set
set
config object
Value
Returns a list of discretized data,
new variables and their cut-points.
If it is not possible to descretize,
returns NULL.
Bilot/AI-JACK-opensource-R documentation built on July 23, 2020, 12:42 a.m.
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Description Usage Arguments Value
View source: R/transformations.R
Description
Discretisize continuous variables by entropy
Usage
1 | trans_entropy(df1, df2, set)
|
Arguments
df1 |
full data |
df2 |
combined testing & validation set |
set |
config object |
Value
Returns a list of discretized data, new variables and their cut-points. If it is not possible to descretize, returns NULL.
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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