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The tomotopy.LDAModel.summary() method, which prints human-readable summary of the model, has been added.
The random number generator of package has been replaced with EigenRand. It speeds up the random number generation and solves the result difference between platforms.
Due to above, even if seed is the same, the model training result may be different from the version before 0.9.0.
Fixed a training error in tomotopy.HDPModel.
tomotopy.DMRModel.alpha now shows Dirichlet prior of per-document topic distribution by metadata.
tomotopy.DTModel.get_count_by_topics() has been modified to return a 2-dimensional ndarray.
tomotopy.DTModel.alpha has been modified to return the same value as tomotopy.DTModel.get_alpha().
Fixed an issue where the metadata value could not be obtained for the document of tomotopy.GDMRModel.
tomotopy.HLDAModel.alpha now shows Dirichlet prior of per-document depth distribution.
tomotopy.LDAModel.global_step has been added.
tomotopy.MGLDAModel.get_count_by_topics() now returns the word count for both global and local topics.
tomotopy.PAModel.alpha, tomotopy.PAModel.subalpha, and tomotopy.PAModel.get_count_by_super_topic() have been added.