gensim.corpora.BleiCorpus¶
-
class
gensim.corpora.BleiCorpus(fname, fname_vocab=None)[source]¶ Corpus in Blei’s LDA-C format.
The corpus is represented as two files: one describing the documents, and another describing the mapping between words and their ids.
Each document is one line:
N fieldId1:fieldValue1 fieldId2:fieldValue2 ... fieldIdN:fieldValueN
The vocabulary is a file with words, one word per line; word at line K has an implicit
id=K.
Methods¶
__init__(fname[, fname_vocab]) |
Initialize the corpus from a file. |
docbyoffset(offset) |
Return the document stored at file position offset. |
line2doc(line) |
|
load(fname[, mmap]) |
Load a previously saved object from file (also see save). |
save(*args, **kwargs) |
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save_corpus(fname, corpus[, id2word, metadata]) |
Save a corpus in the LDA-C format. |
serialize(serializer, fname, corpus[, ...]) |
Iterate through the document stream corpus, saving the documents to fname and recording byte offset of each document. |