ProjectFeatures: Projects new features onto existing factor decomposition
In yanwu2014/swne: Similarity Weighted Nonnegative Embedding: A method for visualizing high dimensional datasets
ProjectFeatures R Documentation
Projects new features onto existing factor decomposition
Description
Projects new features onto existing factor decomposition
Usage
ProjectFeatures(newdata, H, alpha = rep(0, 3), loss = "mse", n.cores = 1)
Arguments
newdata
New data matrix
H
Existing factor scores
alpha
Regularization parameter
loss
Loss function to use
n.cores
Number of cores to use
Value
W matrix (feature loadings) for newdata
yanwu2014/swne documentation built on Aug. 5, 2023, 4:42 a.m.
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| ProjectFeatures | R Documentation |
Projects new features onto existing factor decomposition
Description
Projects new features onto existing factor decomposition
Usage
ProjectFeatures(newdata, H, alpha = rep(0, 3), loss = "mse", n.cores = 1)
Arguments
newdata |
New data matrix |
H |
Existing factor scores |
alpha |
Regularization parameter |
loss |
Loss function to use |
n.cores |
Number of cores to use |
Value
W matrix (feature loadings) for newdata
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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