export_filters_bootstrap: Export filters bootstrap
In mRMRe: Parallelized Minimum Redundancy, Maximum Relevance (mRMR)
export_filters_bootstrap R Documentation
Export filters bootstrap
Description
Export the filters
Arguments
solutionCount
...
solutionLength
...
dataMatrix
...
priorsMatrix
...
priorsWeight
...
sampleStrata
...
sampleWeights
...
featureTypes
...
sampleCount
...
featureCount
...
sampleStratumCount
...
targetFeatureIndices
...
continuousEstimator
...
outX
...
bootstrapCount
...
miMatrix
...
Value
Bootstraps and estimate of the minimum redundancy maximim relevance features
from the mutual information, returning a list where each item is a numeric
vector of selected feature indices.
Author(s)
Nicolas De Jay, Simon Papillon-Cavanagh, Benjamin Haibe-Kains
mRMRe documentation built on April 25, 2023, 9:13 a.m.
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.
| export_filters_bootstrap | R Documentation |
Export filters bootstrap
Description
Export the filters
Arguments
solutionCount |
... |
solutionLength |
... |
dataMatrix |
... |
priorsMatrix |
... |
priorsWeight |
... |
sampleStrata |
... |
sampleWeights |
... |
featureTypes |
... |
sampleCount |
... |
featureCount |
... |
sampleStratumCount |
... |
targetFeatureIndices |
... |
continuousEstimator |
... |
outX |
... |
bootstrapCount |
... |
miMatrix |
... |
Value
Bootstraps and estimate of the minimum redundancy maximim relevance features from the mutual information, returning a list where each item is a numeric vector of selected feature indices.
Author(s)
Nicolas De Jay, Simon Papillon-Cavanagh, Benjamin Haibe-Kains
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.