ProjectSamples: Projects new samples onto existing factor decomposition
In yanwu2014/swne: Similarity Weighted Nonnegative Embedding: A method for visualizing high dimensional datasets
ProjectSamples R Documentation
Projects new samples onto existing factor decomposition
Description
Projects new samples onto existing factor decomposition
Usage
ProjectSamples(
newdata,
W,
features.use = NULL,
alpha = rep(0, 3),
loss = "mse",
n.cores = 1
)
Arguments
newdata
New data matrix
W
Existing feature loadings
features.use
Subset of features to use (default is all features)
alpha
Regularization parameter
loss
Loss function to use
n.cores
Number of cores to use
Value
H matrix (scores) for newdata
yanwu2014/swne documentation built on Aug. 5, 2023, 4:42 a.m.
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.
| ProjectSamples | R Documentation |
Projects new samples onto existing factor decomposition
Description
Projects new samples onto existing factor decomposition
Usage
ProjectSamples(
newdata,
W,
features.use = NULL,
alpha = rep(0, 3),
loss = "mse",
n.cores = 1
)
Arguments
newdata |
New data matrix |
W |
Existing feature loadings |
features.use |
Subset of features to use (default is all features) |
alpha |
Regularization parameter |
loss |
Loss function to use |
n.cores |
Number of cores to use |
Value
H matrix (scores) 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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.