big.model.matrix: Create a model frame when there are many predictors.
In harrysouthworth/mhdm: Medical History Data Mining
Description
Usage
Arguments
Details
Description
Create a model frame when there are many predictors.
Usage
1
big.model.matrix(fo, data, n.cores)
Arguments
fo
A formula.
data
A data frame.
n.cores
The number of cores to use in parallel processing.
Details
The function breaks the formula's right had side into it's
component part, and uses each to construct a model matrix without an
intercept. So the returned object has no intercept, but xgboost
ought to be able to cope.
harrysouthworth/mhdm documentation built on Feb. 4, 2022, 12:25 a.m.
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Description Usage Arguments Details
Description
Create a model frame when there are many predictors.
Usage
1 | big.model.matrix(fo, data, n.cores)
|
Arguments
fo |
A formula. |
data |
A data frame. |
n.cores |
The number of cores to use in parallel processing. |
Details
The function breaks the formula's right had side into it's
component part, and uses each to construct a model matrix without an
intercept. So the returned object has no intercept, but xgboost
ought to be able to cope.
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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