sccoda.model.scCODA_model.scCODAModel.sampling

scCODAModel.sampling(num_results, num_burnin, kernel, init_state, trace_fn)

MCMC sampling process (tensorflow 2)

Parameters
num_results : intint

MCMC chain length (default 20000)

num_burnin : intint

Number of burnin iterations (default 5000)

kernel

tensorflow MCMC kernel object

init_state : dictdict

Starting parameters

trace_fn

tracing function

Return type

Tuple[List[any], List[any], float]Tuple[List[any], List[any], float]

Returns

  • MCMC chain states and results

  • states – States of MCMC chain

  • kernel_results – sampling meta-information

  • duration – Duration of MCMC sampling process