encoderModel_data_to_embedding: Compute embedding for mini-batch
In quon-titative-biology/scAlign: An alignment and integration method for single cell genomics
Description
Usage
Arguments
Value
View source: R/backend_encoder.R
Description
Takes the high dimensional data through the neural network to embedding layer
Usage
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encoderModel_data_to_embedding(
model_func,
data,
is_training = TRUE,
scope = ""
)
Arguments
model_func
Network op in graph
data
Data to pass through model_func
is_training
Determines whether dropout and batch norm are run.
Value
Tensorflow op
quon-titative-biology/scAlign documentation built on Nov. 17, 2021, 9:57 a.m.
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Description Usage Arguments Value
View source: R/backend_encoder.R
Description
Takes the high dimensional data through the neural network to embedding layer
Usage
1 2 3 4 5 6 | encoderModel_data_to_embedding(
model_func,
data,
is_training = TRUE,
scope = ""
)
|
Arguments
model_func |
Network op in graph |
data |
Data to pass through model_func |
is_training |
Determines whether dropout and batch norm are run. |
Value
Tensorflow op
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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