reliefcont: Feature selection by the Relief Algorithm for datasets with...
In dprep: Data Pre-Processing and Visualization Functions for Classification
Description
Usage
Arguments
Author(s)
See Also
Description
This function applies Relief to datasets containing only continuous attributes.
Usage
1
reliefcont(data, nosample, threshold,repet)
Arguments
data
The name of the dataset
nosample
The size of the sample drawn and use to update the relevance of the features
threshold
The threshold for choosing the relevant features.
repet
The number of repetitions. It is recommended to use at most 10 repetitions. When nosample=number of instances use 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 Relief to datasets containing only continuous attributes.
Usage
1 | reliefcont(data, nosample, threshold,repet)
|
Arguments
data |
The name of the dataset |
nosample |
The size of the sample drawn and use to update the relevance of the features |
threshold |
The threshold for choosing the relevant features. |
repet |
The number of repetitions. It is recommended to use at most 10 repetitions. When nosample=number of instances use 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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