reliefcat: Feature selection by the Relief Algorithm for datasets...
In dprep: Data Pre-Processing and Visualization Functions for Classification
Description
Usage
Arguments
Author(s)
See Also
Description
This function applies the RELIEF Algorithm to datasets containing nominal attributes.
Usage
1
Arguments
data
The name of the dataset
nosample
The size of the sample drawn and used to update the relevance of each feature. Usually it is equal to the total number of instances.
threshold
The threshold for choosing the relevant features
vnom
A vector of indices indicating the nominal features
repet
The number of the repetitions. It is recommended to use at most 10 repetitions. If the nosample=number of instances then set repet=1
Author(s)
Edgar Acuna
See Also
dprep documentation built on May 29, 2017, 11:01 a.m.
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Description Usage Arguments Author(s) See Also
Description
This function applies the RELIEF Algorithm to datasets containing nominal attributes.
Usage
1 |
Arguments
data |
The name of the dataset |
nosample |
The size of the sample drawn and used to update the relevance of each feature. Usually it is equal to the total number of instances. |
threshold |
The threshold for choosing the relevant features |
vnom |
A vector of indices indicating the nominal features |
repet |
The number of the repetitions. It is recommended to use at most 10 repetitions. If the nosample=number of instances then set repet=1 |
Author(s)
Edgar Acuna
See Also
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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