LEGEND_NAME = MED_sLDA
LABEL_NAME = wifi
FRAC_LABELS = 1.0
N_STATES = 10.0
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
|