simserver.SimServer¶
-
class
simserver.SimServer(basename, use_locks=True)[source]¶ Top-level functionality for similarity services. A similarity server takes care of:
- creating semantic models
- indexing documents using these models
- finding the most similar documents in an index.
An object of this class can be shared across network via Pyro, to answer remote client requests. It is thread safe. Using a server concurrently from multiple processes is safe for reading = answering similarity queries. Modifying (training/indexing) is realized via locking = serialized internally.
Methods¶
__init__(basename[, use_locks]) |
All data will be stored under directory basename. |
buffer(*args, **kwargs) |
Add a sequence of documents to be processed (indexed or trained on). |
close() |
Explicitly close open file handles, databases etc. |
delete(*args, **kwargs) |
Delete specified documents from the index. |
drop_index(*args, **kwargs) |
Drop all indexed documents. |
find_similar(doc[, min_score, max_results]) |
Find at most max_results most similar articles in the index, each having similarity score of at least min_score. |
flush(*args, **kwargs) |
Commit all changes, clear all caches. |
index(*args, **kwargs) |
Permanently index all documents previously added via buffer, or directly index documents from corpus, if specified. |
is_locked() |
|
keys() |
Return ids of all indexed documents. |
location(name) |
|
memdebug() |
|
optimize(*args, **kwargs) |
Precompute top similarities for all indexed documents. |
status() |
|
train(*args, **kwargs) |
Create an indexing model. |