encoderModel_add_semisup_loss_data_driven: Add walker loss component
In scAlign: An alignment and integration method for single cell genomics

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

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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)

`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