| LDARep | R Documentation |
Performs multiple runs of Latent Dirichlet Allocation.
LDARep(docs, vocab, n = 100, seeds, id = "LDARep", pm.backend, ncpus, ...)
docs |
[ |
vocab |
[ |
n |
[ |
seeds |
[ |
id |
[ |
pm.backend |
[ |
ncpus |
[ |
... |
additional arguments passed to |
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).
[named list] with entries id for computation's name,
jobs for the parameter settings and lda for the results itself.
Other replication functions:
LDAPrototype(),
as.LDARep(),
getJob(),
mergeRepTopics()
Other LDA functions:
LDABatch(),
LDA(),
getTopics()
Other workflow functions:
SCLOP(),
dendTopics(),
getPrototype(),
jaccardTopics(),
mergeTopics()
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) LDARep(docs = reuters_docs, vocab = reuters_vocab, K = 10, num.iterations = 100, pm.backend = "socket")
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