sptm
0.1
Contents:
sptm package
sptm
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Index
Index
C
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D
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F
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G
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I
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L
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M
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N
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O
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P
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R
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S
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T
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W
C
ConditionalMatrix (class in sptm.conditional)
construct_matrix() (sptm.conditional.ConditionalMatrix method)
Corpus (class in sptm.preprocess)
corpus (sptm.model.Model attribute)
D
data_index (sptm.conditional.ConditionalMatrix attribute)
dictionary (sptm.inference.Inferencer attribute)
doc_matrix (sptm.conditional.ConditionalMatrix attribute)
F
fit() (sptm.model.Model method)
force_unicode() (in module sptm.utils)
freq_matrix (sptm.conditional.ConditionalMatrix attribute)
G
get_coherence() (sptm.model.Model method)
I
id2word (sptm.model.Model attribute)
infer() (sptm.inference.Inferencer method)
Inferencer (class in sptm.inference)
intertopic_distance() (sptm.postprocess.TopicDistanceMap method)
L
labeled (sptm.conditional.ConditionalMatrix attribute)
labels (sptm.conditional.ConditionalMatrix attribute)
load() (sptm.model.Model method)
M
mallet_path (sptm.model.Model attribute)
Model (class in sptm.model)
model (sptm.inference.Inferencer attribute)
N
num_sent (sptm.conditional.ConditionalMatrix attribute)
num_topics (sptm.conditional.ConditionalMatrix attribute)
O
optimum_topic() (sptm.model.Model method)
P
params() (sptm.model.Model method)
path (sptm.preprocess.Corpus attribute)
plot_map() (sptm.postprocess.TopicDistanceMap method)
R
raw_review (sptm.preprocess.Corpus attribute)
read_reviews() (sptm.preprocess.Corpus method)
S
save() (sptm.conditional.ConditionalMatrix method)
(sptm.model.Model method)
save_dist() (sptm.postprocess.TopicDistanceMap method)
sentences (sptm.preprocess.Corpus attribute)
sort_and_label() (sptm.conditional.ConditionalMatrix method)
sorted (sptm.conditional.ConditionalMatrix attribute)
split_sentence() (sptm.preprocess.Corpus method)
sptm (module)
sptm.conditional (module)
sptm.inference (module)
sptm.model (module)
sptm.postprocess (module)
sptm.preprocess (module)
sptm.utils (module)
T
tokenize_custom() (sptm.preprocess.Corpus method)
tokenize_simple() (sptm.preprocess.Corpus method)
tokens (sptm.model.Model attribute)
(sptm.preprocess.Corpus attribute)
topic_freq (sptm.conditional.ConditionalMatrix attribute)
TopicDistanceMap (class in sptm.postprocess)
topics() (sptm.model.Model method)
train() (sptm.model.Model method)
W
write_processed() (sptm.preprocess.Corpus method)