predict.lda.madlib: Prediction function for MADlib's LDA models

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

Description

Labelling test documents using a learned LDA model built by linlk{madlib.lda}

Usage

## S3 method for class 'lda.madlib'
predict(object, data, docid, words, ...)

Arguments

object	The result of madlib.lda.
data	An object of db.obj class. This is the database table containing the documents on which the algorithm will predict. The text of each document should be tokenized into 'words'.
docid	Text name of the column containing the id of the documents.
words	Column name of the input data table containing the vector of words/tokens in the documents.
...	Arguments passed to or from other methods, not implemented yet.

Value

A db.table object, which points to a table that contains the predicted values. The table has the following columns: docid wordcount words counts topic_count topic_assignment

One can use the function lk to look at the values.

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.