Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Improve Dynamic Topic Model (DTM) documentation #2645

Merged
merged 3 commits into from
Nov 3, 2019
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 4 additions & 2 deletions gensim/models/wrappers/dtmmodel.py
Original file line number Diff line number Diff line change
Expand Up @@ -97,8 +97,10 @@ def __init__(self, dtm_path, corpus=None, time_slices=None, mode='fit', model='d
Max em optimization iterations in LDA.
alpha : int, optional
Hyperparameter that affects sparsity of the document-topics for the LDA models in each timeslice.
top_chain_var : int, optional
Hyperparameter that affects.
top_chain_var : float, optional
This hyperparameter controls one of the key aspect of topic evolution which is the speed at which
these topics evolve. A smaller top_chain_var leads to similar word distributions over multiple timeslice.

rng_seed : int, optional
Random seed.
initialize_lda : bool, optional
Expand Down