ldaPrototype (version 0.3.1)

LDARep: LDA Replications

Description

Performs multiple runs of Latent Dirichlet Allocation.

Usage

LDARep(docs, vocab, n = 100, seeds, id = "LDARep", pm.backend, ncpus, ...)

Arguments

docs

[list] Documents as received from LDAprep.

vocab

[character] Vocabularies passed to lda.collapsed.gibbs.sampler. For additional (and necessary) arguments passed, see ellipsis (three-dot argument).

n

[integer(1)] Number of Replications.

seeds

[integer(n)] Random Seeds for each Replication.

id

[character(1)] Name for the computation.

pm.backend

[character(1)] One of "multicore", "socket" or "mpi". If pm.backend is set, parallelStart is called before computation is started and parallelStop is called after.

ncpus

[integer(1)] Number of (physical) CPUs to use. If pm.backend is passed, default is determined by availableCores.

...

additional arguments passed to lda.collapsed.gibbs.sampler. Arguments will be coerced to a vector of length n. Default parameters are alpha = eta = 1/K and num.iterations = 200. There is no default for K.

Value

[named list] with entries id for computation's name, jobs for the parameter settings and lda for the results itself.

Details

The function generates multiple LDA runs with the possibility of using parallelization. The integration is done by the parallelMap-package.

The function returns a LDARep object. You can receive results and all other elements of this object with getter functions (see getJob).

See Also

Other replication functions: LDAPrototype(), as.LDARep(), getJob(), mergeRepTopics()

Other LDA functions: LDABatch(), LDA(), getTopics()

Other workflow functions: SCLOP(), dendTopics(), getPrototype(), jaccardTopics(), mergeTopics()

Examples

# NOT RUN {
res = LDARep(docs = reuters_docs, vocab = reuters_vocab, n = 4, seeds = 1:4,
   id = "myComputation", K = 7:10, alpha = 1, eta = 0.01, num.iterations = 20)
res
getJob(res)
getID(res)
getLDA(res, 4)

# }
# NOT RUN {
LDARep(docs = reuters_docs, vocab = reuters_vocab,
   K = 10, num.iterations = 100, pm.backend = "socket")
# }
# NOT RUN {
# }