plotAutoencoderAssessment: Plot total variance of different neural networks
In kueckelj/SPATA2: A Toolbox for Spatial Gene Expression Analysis
plotAutoencoderAssessment R Documentation
Plot total variance of different neural networks
Description
Visualizes the results of assessAutoencoderOptions() by displaying the
total variance of each combination of an activation function (such as relu, sigmoid)
and the number of bottleneck neurons.
The results depend on further adjustments like number of layers, dropout and number of epochs.
Usage
plotAutoencoderAssessment(
object,
activation_subset = NULL,
clrp = NULL,
verbose = NULL
)
Arguments
object
A valid spata-object.
Value
ggplot_family return
kueckelj/SPATA2 documentation built on March 16, 2024, 10:25 a.m.
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| plotAutoencoderAssessment | R Documentation |
Plot total variance of different neural networks
Description
Visualizes the results of assessAutoencoderOptions() by displaying the
total variance of each combination of an activation function (such as relu, sigmoid)
and the number of bottleneck neurons.
The results depend on further adjustments like number of layers, dropout and number of epochs.
Usage
plotAutoencoderAssessment(
object,
activation_subset = NULL,
clrp = NULL,
verbose = NULL
)
Arguments
object |
A valid spata-object. |
Value
ggplot_family return
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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