encoderModel_embedding_to_logit: Convert embedding to logit scores
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
Convert embedding to logit scores
Usage
1
encoderModel_embedding_to_logit(data, num_labels, is_training = TRUE)
Arguments
data
Data to pass through model_func.
num_labels
How many unique labels there are.
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
Convert embedding to logit scores
Usage
1 | encoderModel_embedding_to_logit(data, num_labels, is_training = TRUE)
|
Arguments
data |
Data to pass through model_func. |
num_labels |
How many unique labels there are. |
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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