LEGEND_NAME = PC_sLDA

BP_sLDAGibbs_LDAMED_sLDA
PC_sLDAlogistic_regr

LABEL_NAME = more_than_2_out_of_4_stars

more_than_2_out_of_4_stars

FRAC_LABELS = 0.1

0.050.10.2
1.0

N_STATES = 10.0

10.025.050.0
100.0nan
SNAPSHOT_SRCFILE:
/results/bow_pang_movie_reviews_v20170929/20170930rebal-mod_name=slda__tf-frac_labels=0.100-n_states=010-alpha=1.0100-tau=1.0100-lambda_w=000.001-init_name=rand_smooth_background-weight_x=1.0-weight_y=1000.0-qinit=0.1-decay_rate=adam-step_size=0.1000-n_batches=10/3/lap0000400.000_topic_model_snapshot

0/10

-10.3


0.872 
del                 

0.818 
mexican             

0.812 
toro                

0.791 
arizona             

0.747 
seagal              

0.685 
sitcom              

0.658 
ricci               

0.620 
sleaze              

0.615 
leary               

0.590 
suburban            

0.535 
nightclub           

0.533 
housewife           

0.518 
elevated            

0.512 
bullies             

0.512 
sleepless           

2/10

-3.2


0.984 
subscribe           

0.983 
email               

0.981 
***                 

0.981 
**                  

0.974 
****                

0.974 
*-1/2               

0.968 
amc                 

0.968 
***-1/2             

0.967 
*                   

0.965 
**-1/2              

0.964 
nationwide          

0.949 
cinemas             

0.948 
dialog              

0.944 
brags               

0.938 
recommend           

8/10

0.1


0.996 
church              

0.995 
branagh             

0.994 
shakespeare         

0.992 
juliet              

0.992 
romeo               

0.990 
sonny               

0.988 
preacher            

0.988 
paltrow             

0.986 
gwyneth             

0.985 
helena              

0.983 
fonda               

0.983 
claus               

0.982 
dicaprio            

0.982 
rupert              

0.981 
ranch               

6/10

0.4


0.980 
film-making         

0.972 
film-makers         

0.957 
sub-plot            

0.950 
film-maker          

0.928 
stanford            

0.923 
schreiber           

0.923 
liev                

0.900 
nolte               

0.888 
altman              

0.883 
basketball          

0.872 
posey               

0.849 
half-hearted        

0.841 
vaguely             

0.835 
sub-plots           

0.834 
counsel             

7/10

0.4


0.985 
military            

0.981 
col                 

0.980 
ship                

0.975 
senate              

0.966 
titan               

0.965 
missile             

0.956 
trek                

0.954 
mission             

0.954 
robot               

0.951 
jurassic            

0.950 
preside             

0.930 
gibson              

0.930 
twister             

0.927 
ford                

0.925 
warrior             

5/10

0.4


0.991 
serial              

0.978 
slasher             

0.975 
murder              

0.972 
psychic             

0.971 
crow                

0.966 
vampire             

0.966 
homicide            

0.963 
halloween           

0.948 
craven              

0.946 
gothic              

0.934 
doc                 

0.931 
blair               

0.929 
killer              

0.924 
hitchcock           

0.896 
macabre             

4/10

0.7


0.989 
jews                

0.974 
germany             

0.971 
holocaust           

0.968 
diary               

0.965 
poet                

0.963 
le                  

0.963 
jewish              

0.957 
anti-semite         

0.957 
regime              

0.954 
berlin              

0.951 
bourgeois           

0.941 
poetry              

0.921 
communist           

0.909 
meditate            

0.906 
fascist             

9/10

1.0


0.994 
casino              

0.992 
dancer              

0.991 
007                 

0.989 
carrey              

0.987 
heist               

0.985 
robber              

0.983 
robbery             

0.981 
connery             

0.966 
bank                

0.961 
willy               

0.960 
chan                

0.959 
murray              

0.958 
gus                 

0.954 
bond                

0.950 
ace                 

3/10

1.2


0.990 
classification      

0.988 
distributor         

0.987 
ratio               

0.972 
puttnam             

0.969 
ingmar              

0.965 
one-hundred         

0.961 
kieslowski          

0.932 
66                  

0.926 
likewise            

0.923 
eroticism           

0.921 
avail               

0.905 
point-of-view       

0.885 
alas                

0.882 
krzysztof           

0.882 
length              

1/10

11.8


0.849 
mamet               

0.812 
eminent             

0.809 
judd                

0.806 
good-spirited       

0.769 
males               

0.758 
hardest             

0.723 
belle               

0.702 
tucci               

0.695 
tiger               

0.687 
spacey              

0.643 
uplifting           

0.629 
cuss                

0.624 
cream               

0.615 
princess            

0.610 
bites