gbm.predict: Train noise filter
In mtmcgowan/PolySNPclust: Clusters Infinium SNP chip data in polyploid species and calls bi-allelic genotypes
Description
Usage
Arguments
Value
Description
Reads in completed training data and trains a gradient boosted model outputting prediction accuracy statistics
Usage
1
gbm.predict(model_gbm, clust_stats)
Arguments
model_gbm
A gradient boosted model object created using manually scored training data
clust_stats
A cluster statistic object from the extract.clust.stats function
Value
A gbm model object
mtmcgowan/PolySNPclust documentation built on May 31, 2019, 8:43 a.m.
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Description Usage Arguments Value
Description
Reads in completed training data and trains a gradient boosted model outputting prediction accuracy statistics
Usage
1 | gbm.predict(model_gbm, clust_stats)
|
Arguments
model_gbm |
A gradient boosted model object created using manually scored training data |
clust_stats |
A cluster statistic object from the extract.clust.stats function |
Value
A gbm model object
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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