Does inference on a single document with no updates to the model.
A sampler that updates the model (normal gibbs sampling).
Abstract base class of a Gibbs sampler for LDA.
FileSerialization.
FileSerialization.ReadWritable for the model: defers to load and save methods.
Clears the state of the datum.
Clears the state of the datum.
Clears the state of the model.
Clears the state of the model.
Creates a new datum for processing with the given model.
Creates a new datum for processing with the given model.
Creates a new model from the given model parameters.
Creates a new model from the given model parameters.
Does one iteration of learning on the given data, updating ModelState and each Datum's DatumState as appropriate.
Does one iteration of learning on the given data, updating ModelState and each Datum's DatumState as appropriate.
Gets the state of the datum.
Gets the state of the datum.
Get model parameters used to construct a model like the given.
Get model parameters used to construct a model like the given.
Gets the state of the model.
Gets the state of the model.
Loads a model of this type from the given path.
Loads a model of this type from the given path.
Saves a model of this type to the given path.
Saves a model of this type to the given path.
Sets the state of the document.
Sets the state of the document.
Uses the given model state.
Uses the given model state.
Support methods for GibbsLabeledLDA.