encoderModel_calc_embedding: 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

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encoderModel_calc_embedding(sess, data, endpoint, test_in, FLAGS,
  batch_size = 150)

Arguments

sess

Current tensorflow session

data

Input matrix or tensor to reduce to embedding space

endpoint

Operation to evaluate in the graph

test_in

Placeholder to process full data in batches

FLAGS

Tensorflow run arguments

batch_size

how many cells per each batch

Value

Aligned data embedding


scAlign documentation built on April 28, 2020, 6:10 p.m.