LEGEND_NAME = MED_sLDA

BP_sLDAGibbs_LDAMED_sLDA
PC_sLDAlogistic_regr

LABEL_NAME = wifi

alcoholdeliveryexpensive
kid_friendlyoutdoor_seatingreservations
wifi

FRAC_LABELS = 1.0

0.050.10.2
1.0

N_STATES = 10.0

10.025.050.0
100.0nan
SNAPSHOT_SRCFILE:
/results/yelp_wifi_only/20170930-mod_name=slda__np-frac_labels=1.000-n_states=010-alpha=0.0100-tau=0.0100-lambda_w=0.001-c_svm=10.0-init_name=rand_smooth_background-alg_name=med_lda_gibbs_sampler-n_batches=1/2/lap0000600.000_topic_model_snapshot

0/10

-17.8


1.000 
glaziers            

1.000 
montague            

1.000 
kneaders            

1.000 
montagu             

0.987 
zupas               

0.987 
capastrami          

0.986 
ikes                

0.976 
lucilles            

0.976 
primantis           

0.969 
slymans             

0.969 
stockyards          

0.967 
cheba               

0.962 
teds                

0.960 
primanti            

0.957 
canes               

8/10

-16.2


1.000 
capos               

0.993 
settebello          

0.989 
casanova            

0.988 
venezias            

0.988 
donair              

0.982 
sambar              

0.979 
grimaldis           

0.977 
aiellos             

0.976 
nypd                

0.975 
moussaka            

0.973 
spinatos            

0.973 
dosa                

0.973 
dosas               

0.973 
injera              

0.972 
dhaba               

4/10

-16.1


1.000 
oyshi               

1.000 
jjanga              

1.000 
fukumimi            

1.000 
aburi               

1.000 
miku                

1.000 
ichiza              

1.000 
vang                

1.000 
hobak               

1.000 
saimin              

1.000 
soyo                

0.991 
archis              

0.991 
monta               

0.991 
omakase             

0.988 
jinya               

0.988 
yasu                

2/10

-16.1


1.000 
ronin               

1.000 
dupars              

1.000 
wvrst               

1.000 
jamms               

0.991 
babystacks          

0.989 
brgr                

0.987 
pamelas             

0.985 
swensons            

0.985 
tessaros            

0.979 
freddys             

0.978 
bachi               

0.976 
zinburger           

0.970 
mimis               

0.967 
mto                 

0.966 
fatburger           

6/10

-16.0


1.000 
tostones            

1.000 
saltado             

1.000 
mofongo             

1.000 
cabeza              

1.000 
ritos               

1.000 
ropa                

1.000 
pernil              

0.997 
arepas              

0.997 
arepa               

0.996 
lengua              

0.996 
sisig               

0.996 
adobada             

0.995 
pibil               

0.995 
venezuelan          

0.994 
paco                

5/10

-16.0


1.000 
plutôt              

1.000 
mussten             

1.000 
weiter              

1.000 
bières              

1.000 
laut                

1.000 
andere              

1.000 
gerne               

1.000 
empfehlenswert      

1.000 
beste               

1.000 
leur                

1.000 
daher               

1.000 
ziemlich            

1.000 
werde               

1.000 
nachdem             

1.000 
surtout             

1/10

-16.0


1.000 
botero              

1.000 
noca                

1.000 
fiamma              

1.000 
popovers            

1.000 
bannock             

1.000 
stripsteak          

1.000 
n9ne                

1.000 
jaleo               

1.000 
fnb                 

0.989 
durants             

0.989 
giada               

0.987 
hugos               

0.983 
friscos             

0.981 
morels              

0.979 
binkleys            

3/10

-16.0


1.000 
pastys              

1.000 
topgolf             

0.994 
hulas               

0.992 
hannys              

0.986 
hofbrauhaus         

0.986 
duce                

0.983 
gameworks           

0.978 
vig                 

0.976 
duckworths          

0.964 
fez                 

0.957 
yardhouse           

0.948 
bjs                 

0.948 
dropout             

0.941 
biersch             

0.941 
pasties             

9/10

-15.9


1.000 
harrahs             

1.000 
wynns               

1.000 
bellagios           

0.999 
bacchanal           

0.999 
wynn                

0.999 
palazzo             

0.998 
bellagio            

0.998 
luxor               

0.992 
aria                

0.992 
todai               

0.989 
buffets             

0.988 
venetian            

0.987 
mgm                 

0.985 
serendipity         

0.982 
macarons            

7/10

409.7


0.983 
amelies             

0.952 
snoh                

0.944 
lucis               

0.919 
chatime             

0.909 
baristas            

0.905 
rachels             

0.897 
sambalatte          

0.878 
laptops             

0.859 
nami                

0.838 
acai                

0.792 
lunas               

0.778 
cartel              

0.738 
barista             

0.686 
study               

0.679 
caffe