makeFeatureSpaceOperations: Make operation config object to build feature spaces
Description
makeFeatureSpaceOperations create config object for datasample
Usage
makeFeatureSpaceOperations(
pca = FALSE,
pca.nb.dims = 0,
spectral = FALSE,
sampling = FALSE,
sampling.size.max = 0,
scaling = FALSE
)
Value
configuration object created from parameters.
Arguments
- pca
boolean: if TRUE, Principal Components Analysis is applied to reduce the data space.
- pca.nb.dims
number of principal components kept. If pca.nb.dims=0, this number is computed automatically.
- spectral
boolean: if TRUE, spectral embedding is applied to reduce the data space.
- sampling
boolean: if TRUE, data sampling is used.
- sampling.size.max
: maximum size of the sampled dataframe.
- scaling
boolean: if TRUE, scaling is applied.
Examples
Run this code
operations <- makeFeatureSpaceOperations(pca=TRUE)
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