make_ensemble_parallel: Multiple Filter ensemble algorithm, parallel version
In katrinakalantar/metahostlab: Metagenomic Host Labelling of Unlabelled Data (one line, title case)
Description
Usage
Arguments
Value
Description
Multiple Filter ensemble algorithm, parallel version
Usage
1
make_ensemble_parallel(x, y, library)
Arguments
x
The dataset to train the algorithm.
y
The binary variable output.
library
List of algorithm ID strings(corresponding to available caret package algorithm names for caret trainControl function) to use in the multiple filter ensemble.
Value
A list containing: "MF", samples to be kept by majority filter; "CF", samples to be kept by consensus filter, "full_res", the full list of discordant predictions
katrinakalantar/metahostlab documentation built on May 26, 2019, 2:31 p.m.
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Description Usage Arguments Value
Description
Multiple Filter ensemble algorithm, parallel version
Usage
1 | make_ensemble_parallel(x, y, library)
|
Arguments
x |
The dataset to train the algorithm. |
y |
The binary variable output. |
library |
List of algorithm ID strings(corresponding to available caret package algorithm names for caret trainControl function) to use in the multiple filter ensemble. |
Value
A list containing: "MF", samples to be kept by majority filter; "CF", samples to be kept by consensus filter, "full_res", the full list of discordant predictions
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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