skIncrPartialPCA: use basilisk discipline to perform partial (n_components)...
In vjcitn/BiocSklearn: interface to python sklearn via Rstudio reticulate
skIncrPartialPCA R Documentation
use basilisk discipline to perform partial (n_components) incremental (chunk.size) PCA with scikit.decomposition
Description
use basilisk discipline to perform partial (n_components) incremental (chunk.size) PCA with scikit.decomposition
Usage
skIncrPartialPCA(mat, n_components, chunk.size = 10)
Arguments
mat
a matrix
n_components
integer(1) number of PCs to compute
chunk.size
integer(1) number of rows to use each step
Note
A good source for capabilities and examples is at the sklearn doc site.
Examples
lk = skIncrPartialPCA(iris[,1:4], n_components=3L)
lk
head(getTransformed(lk))
vjcitn/BiocSklearn documentation built on Aug. 30, 2024, 2:13 p.m.
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| skIncrPartialPCA | R Documentation |
use basilisk discipline to perform partial (n_components) incremental (chunk.size) PCA with scikit.decomposition
Description
use basilisk discipline to perform partial (n_components) incremental (chunk.size) PCA with scikit.decomposition
Usage
skIncrPartialPCA(mat, n_components, chunk.size = 10)
Arguments
mat |
a matrix |
n_components |
integer(1) number of PCs to compute |
chunk.size |
integer(1) number of rows to use each step |
Note
A good source for capabilities and examples is at the sklearn doc site.
Examples
lk = skIncrPartialPCA(iris[,1:4], n_components=3L)
lk
head(getTransformed(lk))
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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