encoderModel_add_semisup_loss_data_driven: Add walker loss component

Description Usage Arguments Value

View source: R/backend_encoder.R

Description

Creates the walker loss component using embedding representation of high-dimensional data. Specifies random walk procedure.

Usage

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
encoderModel_add_semisup_loss_data_driven(
  p_target,
  a,
  b,
  data_shape,
  walker_weight = 1,
  visit_weight = 1,
  mode = "source",
  comp = "exp",
  betas = NULL,
  diag = "zero",
  debug = TRUE
)

Arguments

p_target

Pairwise cell-cell similarity

a

Data embeddings

b

Data embeddings

data_shape

Dimension of data

walker_weight

Walker loss component weight

visit_weight

Visit loss component weight (unused)

mode

Specifies which walker loss is being computed

comp

How to compute round trip probabilities

betas

Value for fixed beta gaussian kernel

diag

Whether to include self similarity

debug

Sets the verbosity level

Value

Tensorflow loss op


quon-titative-biology/scAlign documentation built on Nov. 17, 2021, 9:57 a.m.