perplexity.lda.madlib: Perplexity of LDA predictions

In PivotalR: A Fast, Easy-to-Use Tool for Manipulating Tables in Databases and a Wrapper of MADlib

Description

Perplexity is a measurement of how well a probability distribution or probability model predicts a sample. This functions computes the perplexity of the prediction by linlk{predict.madlib.lda}

Usage

## S3 method for class 'lda.madlib'
perplexity(object, predict_output_table, ...)

Arguments

object	The result of madlib.lda.
predict_output_table	The result of predict on the madlib.lda object.
...	Arguments passed to or from other methods, not implemented yet.

Value

A numeric value that indicates the perplexity of the LDA prediction.

Author(s)

Author: Predictive Analytics Team at Pivotal Inc.

Maintainer: Frank McQuillan, Pivotal Inc. [e-mail]

See Also

madlib.lda builds a topic model using a set of documents.

Examples

## Not run: 
## Please see the examples in madlib.lda doc.

## End(Not run)

PivotalR documentation built on March 13, 2021, 1:06 a.m.