encoderModel_add_semisup_loss_data_driven {scAlign} | R Documentation |
Creates the walker loss component using embedding representation of high-dimensional data. Specifies random walk procedure.
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 |
Tensorflow loss op