Index

_

__init__() (chronowords.alignment.procrustes.AlignmentMetrics method) (chronowords.alignment.procrustes.ProcrustesAligner method) (chronowords.topics.nmf.AlignedTopic method) (chronowords.topics.nmf.Topic method) (chronowords.topics.nmf.TopicModel method) (chronowords.utils.probabilistic_counter.CountMinSketch method)

_align_distributions() (chronowords.topics.nmf.TopicModel method) _compute_topic_similarity() (chronowords.topics.nmf.TopicModel method) _hash_indices() (chronowords.utils.probabilistic_counter.CountMinSketch method)

A

align_with() (chronowords.topics.nmf.TopicModel method) AlignedTopic (class in chronowords.topics.nmf) alignment_error (chronowords.alignment.procrustes.AlignmentMetrics attribute)

AlignmentMetrics (class in chronowords.alignment.procrustes) anchors (chronowords.alignment.procrustes.ProcrustesAligner attribute) arrays (chronowords.utils.probabilistic_counter.CountMinSketch property) average_cosine_similarity (chronowords.alignment.procrustes.AlignmentMetrics attribute)

C

chronowords.alignment.procrustes module chronowords.topics.nmf module

chronowords.utils.probabilistic_counter module CountMinSketch (class in chronowords.utils.probabilistic_counter)

D

distribution (chronowords.topics.nmf.Topic attribute)

E

estimate_error() (chronowords.utils.probabilistic_counter.CountMinSketch method)

F

find_common_words() (chronowords.alignment.procrustes.ProcrustesAligner method)

fit() (chronowords.alignment.procrustes.ProcrustesAligner method) (chronowords.topics.nmf.TopicModel method)

G

get_document_topics() (chronowords.topics.nmf.TopicModel method)

get_heavy_hitters() (chronowords.utils.probabilistic_counter.CountMinSketch method) get_word_similarity() (chronowords.alignment.procrustes.ProcrustesAligner method)

I

id (chronowords.topics.nmf.Topic attribute)

L

load() (chronowords.alignment.procrustes.ProcrustesAligner method)

M

merge() (chronowords.utils.probabilistic_counter.CountMinSketch method) module chronowords.alignment.procrustes chronowords.topics.nmf chronowords.utils.probabilistic_counter

N

num_aligned_words (chronowords.alignment.procrustes.AlignmentMetrics attribute)

O

orthogonal_matrix (chronowords.alignment.procrustes.ProcrustesAligner attribute)

P

print_topics() (chronowords.topics.nmf.TopicModel method)

ProcrustesAligner (class in chronowords.alignment.procrustes)

Q

query() (chronowords.utils.probabilistic_counter.CountMinSketch method)

S

save() (chronowords.alignment.procrustes.ProcrustesAligner method) similarity (chronowords.topics.nmf.AlignedTopic attribute)

source_topic (chronowords.topics.nmf.AlignedTopic attribute) source_words (chronowords.alignment.procrustes.ProcrustesAligner attribute)

T

target_topic (chronowords.topics.nmf.AlignedTopic attribute) target_words (chronowords.alignment.procrustes.ProcrustesAligner attribute) Topic (class in chronowords.topics.nmf)

topic_word_matrix (chronowords.topics.nmf.TopicModel attribute) TopicModel (class in chronowords.topics.nmf) topics (chronowords.topics.nmf.TopicModel attribute) transform() (chronowords.alignment.procrustes.ProcrustesAligner method)

U

update() (chronowords.utils.probabilistic_counter.CountMinSketch method)

V

vocabulary (chronowords.topics.nmf.TopicModel attribute)

W

words (chronowords.topics.nmf.Topic attribute)