smile.feature

Class Bag<T>

java.lang.Object

smile.feature.Bag<T>

public class Bag<T>
extends Object

The bag-of-words feature of text used in natural language processing and information retrieval. In this model, a text (such as a sentence or a document) is represented as an unordered collection of words, disregarding grammar and even word order. This is a generic implementations. Thus, it can be used for sequences of any (discrete) data types with limited number of values.

Author:

Haifeng Li

Constructor Summary

Constructors

Constructor and Description
Bag(T[] features) Constructor.
Bag(T[] features, boolean binary) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
double[]	feature(T[] x) Returns the bag-of-words features of a document.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Bag

public Bag(T[] features)

Constructor.

Parameters:

features - the list of feature objects.

Bag

public Bag(T[] features,
   boolean binary)

Constructor.

Parameters:

features - the list of feature objects. The feature objects should be unique in the list. Note that the Bag class doesn't learn the features, but just use them as attributes.

binary - true to check if feature object appear in a collection instead of their frequencies.

Method Detail

feature

public double[] feature(T[] x)

Returns the bag-of-words features of a document. The features are real-valued in convenience of most learning algorithms although they take only integer or binary values.