models.lsi_worker – Worker for distributed LSI

Worker (“slave”) process used in computing distributed Latent Semantic Indexing (LSI, LsiModel) models.

Run this script on every node in your cluster. If you wish, you may even run it multiple times on a single machine, to make better use of multiple cores (just beware that memory footprint increases linearly).

How to use distributed LSI

  1. Install needed dependencies (Pyro4)

    pip install gensim[distributed]

  2. Setup serialization (on each machine)

    export PYRO_SERIALIZERS_ACCEPTED=pickle
export PYRO_SERIALIZER=pickle

  3. Run nameserver

    python -m Pyro4.naming -n 0.0.0.0 &

  4. Run workers (on each machine)

    python -m gensim.models.lsi_worker &

  5. Run dispatcher

    python -m gensim.models.lsi_dispatcher &

  6. Run LsiModel in distributed mode:

    >>> from gensim.test.utils import common_corpus, common_dictionary
>>> from gensim.models import LsiModel
>>>
>>> model = LsiModel(common_corpus, id2word=common_dictionary, distributed=True)

Command line arguments

...

optional arguments:
  -h, --help  show this help message and exit
class gensim.models.lsi_worker.Worker

Bases: object

Partly initialize the model.

A full initialization requires a call to initialize().

exit()

Terminate the worker.

getstate()

Log and get the LSI model’s current projection.

Returns

The current projection.

Return type

Projection

initialize(myid, dispatcher, **model_params)

Fully initialize the worker.

Parameters

  • myid (int) – An ID number used to identify this worker in the dispatcher object.

  • dispatcher (Dispatcher) – The dispatcher responsible for scheduling this worker.

  • **model_params – Keyword parameters to initialize the inner LSI model, see LsiModel.

processjob(job)

Incrementally process the job and potentially logs progress.

Parameters

job (iterable of list of (int, float)) – Corpus in BoW format.

requestjob()

Request jobs from the dispatcher, in a perpetual loop until getstate() is called.

Raises

RuntimeError – If self.model is None (i.e. worker not initialized).

reset()

Reset the worker by deleting its current projection.