Description Usage Arguments Value Functions
Run LDA adapted to use a count matrix
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | lda_reshaped(
N,
K,
max_iter = 50,
thresh = 1e-04,
seed = NULL,
cores = NULL,
alpha = NULL
)
lda_reshaped_noalpha(
N,
K,
max_iter = 50,
thresh = 1e-04,
seed = NULL,
cores = NULL,
alpha = NULL
)
|
N |
matrix of word counts |
K |
the number of topics to look for |
max_iter |
the maximum number of EM iterations to run |
thresh |
threshold for L convergence, (L_i - L_i-1)/L_i < thresh |
seed |
set a seed for the random documents to initialise beta |
cores |
number of cores to run the E-step in parallel, if NULL all detected cores are used |
alpha |
if you want to set the exchangeable Dirichlet parameter for theta, if NULL a default value of 1/K is used |
A list of all parameters
A list of all parameters
lda_reshaped_noalpha
: Alpha is fixed
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