encoderModel_calc_logit: Compute embedding for complete data after training

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.