cv.gbmImpute: CV for gbmImpute
In jeffwong/imputation: imputation
Description
Usage
Arguments
Examples
Description
Cross Validation for GBM Imputation Artificially erase
some data and run gbmImpute. Compute the RMSE on the
subset of x for which data was artificially erased.
Usage
1
cv.gbmImpute(x, ...)
Arguments
x
a data frame or matrix where each row represents
a different record
...
extra parameters to be passed to gbmImpute
Examples
1
2
3
4
x = matrix(rnorm(10000),1000,10)
x.missing = x > 2
x[x.missing] = NA
cv.gbmImpute(x)
jeffwong/imputation documentation built on May 19, 2019, 4:02 a.m.
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Description Usage Arguments Examples
Description
Cross Validation for GBM Imputation Artificially erase some data and run gbmImpute. Compute the RMSE on the subset of x for which data was artificially erased.
Usage
1 | cv.gbmImpute(x, ...)
|
Arguments
x |
a data frame or matrix where each row represents a different record |
... |
extra parameters to be passed to gbmImpute |
Examples
1 2 3 4 | x = matrix(rnorm(10000),1000,10)
x.missing = x > 2
x[x.missing] = NA
cv.gbmImpute(x)
|
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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