LEGEND_NAME = PC_sLDA
LABEL_NAME = reservations
FRAC_LABELS = 0.2
N_STATES = 10.0
SNAPSHOT_SRCFILE:
/results/yelp_7label/20171011frombest-mod_name=slda__tf-frac_labels=0.200-n_states=010-alpha=1.1000-tau=1.0100-lambda_w=000.100-init_name=bestauc_gibbs_K010_f0.200-weight_x=1.0-weight_y=1000.0-qinit=0.1-decay_rate=adam-step_size=0.1000-n_batches=10/1/lap0000010.000_topic_model_snapshot
2/10 -7.8
0.999 portillos
0.999 teds
0.999 montagu
0.999 freddys
0.999 culvers
0.999 burgatory
0.999 slymans
0.999 canes
0.999 coney
0.999 fukuburger
0.998 dickeys
0.998 tessaros
0.998 innout
0.998 capastrami
0.998 bachi
|
5/10 -3.5
0.999 chompies
0.999 baristas
0.999 pamelas
0.999 amelies
0.999 homefries
0.999 barista
0.999 quiches
0.999 babystacks
0.999 zupas
0.999 scrambler
0.999 rachels
0.999 hotcakes
0.999 einsteins
0.998 kneaders
0.998 dupars
|
7/10 -2.0
1.000 asada
1.000 pastor
1.000 salsas
1.000 enchiladas
1.000 relleno
1.000 arepa
1.000 lengua
1.000 tortas
1.000 adobada
1.000 pupusas
1.000 fundido
1.000 machaca
1.000 tostones
1.000 flautas
1.000 rellenos
|
4/10 -2.0
1.000 calzone
1.000 calzones
1.000 stromboli
1.000 ziti
1.000 rosatis
1.000 barros
1.000 falafels
1.000 spinatos
1.000 schwarma
1.000 aladdins
0.999 pizzerias
0.999 baklava
0.999 nypd
0.999 dominos
0.999 moussaka
|
6/10 -1.9
1.000 bellagio
1.000 wynn
1.000 mgm
1.000 bacchanal
1.000 palazzo
1.000 mandalay
1.000 luxor
1.000 harrahs
0.999 ballys
0.999 aria
0.999 casinos
0.999 bellagios
0.999 wynns
0.999 excalibur
0.999 freemont
|
9/10 -1.6
0.999 trivia
0.999 kilt
0.999 zipps
0.999 darts
0.999 microbrews
0.999 hulas
0.999 ales
0.999 shuffleboard
0.999 bouncers
0.999 ipa
0.999 hofbrauhaus
0.999 hannys
0.999 papago
0.999 cornhole
0.999 ciders
|
0/10 0.5
1.000 paneer
1.000 panang
1.000 curries
1.000 biryani
1.000 tikka
1.000 dosa
1.000 pho
1.000 khao
1.000 vindaloo
1.000 saag
1.000 viet
1.000 thali
1.000 korma
1.000 kha
1.000 aloo
|
8/10 0.6
1.000 nigiri
1.000 hibachi
1.000 maki
1.000 bibimbap
1.000 bulgogi
1.000 banchan
1.000 unagi
1.000 teppanyaki
1.000 chirashi
1.000 kbbq
1.000 omakase
1.000 musubi
1.000 okonomiyaki
1.000 sakana
1.000 yakitori
|
1/10 1.5
1.000 und
1.000 der
1.000 ist
1.000 auch
1.000 sehr
1.000 wir
1.000 ich
1.000 nicht
1.000 zu
1.000 mit
1.000 ein
1.000 aber
1.000 essen
1.000 für
1.000 eine
|
3/10 7.7
1.000 fixe
0.999 summerlicious
0.999 winterlicious
0.999 giada
0.998 agnolotti
0.998 fingerling
0.998 manchego
0.997 durants
0.997 escargots
0.997 sweetbreads
0.997 fiamma
0.996 friscos
0.996 stripsteak
0.996 morels
0.996 delmonico
|