encoderModel_calc_logit: Compute embedding for complete data after training
In 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
1
encoderModel_calc_logit(sess, emb, endpoint, test_logit_in, FLAGS)
Arguments
sess
Current tensorflow session
endpoint
Operation to evaluate in the graph
FLAGS
Tensorflow run arguments
data
Input matrix or tensor to reduce to embedding space
test_in
Placeholder to process full data in batches
batch_size
how many cells per each batch
Value
Aligned data embedding
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
Takes the high dimensional data through the neural network to embedding layer
Usage
1 | encoderModel_calc_logit(sess, emb, endpoint, test_logit_in, FLAGS)
|
Arguments
sess |
Current tensorflow session |
endpoint |
Operation to evaluate in the graph |
FLAGS |
Tensorflow run arguments |
data |
Input matrix or tensor to reduce to embedding space |
test_in |
Placeholder to process full data in batches |
batch_size |
how many cells per each batch |
Value
Aligned data embedding
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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