Table Of Contents

LdaModel publish


publish(self)

[ALPHA] Creates a tar file that will used as input to the scoring engine

Parameters:
Returns:

: dict

Returns the HDFS path to the trained model’s tar file

Creates a tar file with the trained Latent Dirichlet Allocation model. The tar file is then published on HDFS and this method returns the path to the tar file.
The tar file is used as input to the scoring engine to predict the conditional topic probabilities for a document.

Examples

See here for examples.