encoderModel_add_logit_loss: Add classifier loss component
In scAlign: An alignment and integration method for single cell genomics
Description
Usage
Arguments
Value
View source: R/backend_encoder.R
Description
Cross entropy of labels and predictions
Usage
1
encoderModel_add_logit_loss(logits, labels, weight = 1)
Arguments
logits
cell x label logits
labels
cell x 1 true labels
weight
Scale of classifier loss component
smoothing
tensorflow label_smoothing (unused)
Value
Tensorflow loss op
scAlign documentation built on April 28, 2020, 6:10 p.m.
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Description Usage Arguments Value
View source: R/backend_encoder.R
Description
Cross entropy of labels and predictions
Usage
1 | encoderModel_add_logit_loss(logits, labels, weight = 1)
|
Arguments
logits |
cell x label logits |
labels |
cell x 1 true labels |
weight |
Scale of classifier loss component |
smoothing |
tensorflow label_smoothing (unused) |
Value
Tensorflow loss 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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