export_filters_bootstrap: Export filters bootstrap
In bhklab/mRMRe: Parallelized Minimum Redundancy, Maximum Relevance (mRMR)
Description
Arguments
Value
Author(s)
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
bhklab/mRMRe documentation built on Sept. 3, 2021, 10:50 p.m.
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Arguments Value Author(s)
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.
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