• tomotopy.DTModel was added into the package.
• A bug in tomotopy.utils.Corpus.save was fixed.
• A new method tomotopy.Document.get_count_vector was added into Document class.
• Now linux distributions use manylinux2010 and an additional optimization is applied.

• A critical bug related to save and load was fixed. Version 0.6.0 and 0.6.1 have been removed from releases.
• tomotopy.utils.Corpus class that manages multiple documents easily was added.
• tomotopy.LDAModel.set_word_prior method that controls word-topic priors of topic models was added.
• A new argument min_df that filters words based on document frequency was added into every topic model's __init__.
• tomotopy.label, the submodule about topic labeling was added. Currently, only tomotopy.label.FoRelevance is provided.

• A segmentation fault problem was fixed in tomotopy.LLDAModel.add_doc.
• A bug was fixed that infer of tomotopy.HDPModel sometimes crashes the program.
• A crash issue was fixed of tomotopy.LDAModel.infer with ps=tomotopy.ParallelScheme.PARTITION, together=True.

• A bug was fixed that tomotopy.SLDAModel.make_doc doesn't support missing values for y.
• Now tomotopy.SLDAModel fully supports missing values for response variables y. Documents with missing values (NaN) are included in modeling topic, but excluded from regression of response variables.

• Now tomotopy.PAModel.infer returns both topic distribution nd sub-topic distribution.
• New methods get_sub_topics and get_sub_topic_dist were added into tomotopy.Document. (for PAModel)
• New parameter parallel was added for tomotopy.LDAModel.train and tomotopy.LDAModel.infer method. You can select parallelism algorithm by changing this parameter.
• tomotopy.ParallelScheme.PARTITION, a new algorithm, was added. It works efficiently when the number of workers is large, the number of topics or the size of vocabulary is big.
• A bug where rm_top didn't work at min_cf < 2 was fixed.

• Wrong topic assignments of tomotopy.LLDAModel and tomotopy.PLDAModel were fixed.
• Readable __repr__ of tomotopy.Document and tomotopy.Dictionary was implemented.

• A bug at init function of tomotopy.PLDAModel was fixed.

• New models including tomotopy.PLDAModel and tomotopy.HLDAModel were added into the package.

• An issue where get_topic_dist() returns incorrect value when min_cf or rm_top is set was fixed.
• The return value of get_topic_dist() of tomotopy.MGLDAModel document was fixed to include local topics.
• The estimation speed with tw=ONE was improved.

Update

• A new model, tomotopy.LLDAModel was added into the package.
• Since hyperparameter estimation for HDPModel was implemented, the result of HDPModel may differ from previous versions. If you want to turn off hyperparameter estimation of HDPModel, set optim_interval to zero.

Fixed bugs

• A crashing issue of HDPModel was fixed. (#6)