com.netrics.likeit

Class NetricsThesStats

java.lang.Object

com.netrics.likeit.NetricsThesStats

All Implemented Interfaces:

java.io.Serializable

public class NetricsThesStats
extends java.lang.Object
implements java.io.Serializable

This class contains information about a thesaurus on the Netrics server.

Objects of this class contain status information on a thesaurus in the server. These objects are created and returned by the NetricsServerInterface thes_stats method. Normally there is no need to explicitly create a NetricsThesStats object.

See Also:

NetricsServerInterface.thes_stats(java.lang.String[]), Serialized Form

Constructor Summary

Constructors

Constructor and Description
NetricsThesStats() Default constructor.

Method Summary

Methods

Modifier and Type	Method and Description
int	NumberOfTokens() Return the number of tokens in the thesaurus.
NetricsLpar	StatsLpar() Return the raw stats LPAR
java.lang.String	ThesaurusName() Return the name of the thesaurus.
java.lang.String	ThesaurusType() Return the type of the thesaurus.
java.lang.String	toString() Convert to string representation.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

NetricsThesStats

public NetricsThesStats()

Default constructor.

Method Detail

toString

public java.lang.String toString()

Convert to string representation.

Overrides:

toString in class java.lang.Object

StatsLpar

public NetricsLpar StatsLpar()

Return the raw stats LPAR

ThesaurusName

public java.lang.String ThesaurusName()

Return the name of the thesaurus.

ThesaurusType

public java.lang.String ThesaurusType()

Return the type of the thesaurus. This is one of:
"substitution" standard thesaurus.
"weighted term" a weighted dictionary.
"combined" a combined thesaurus.
"<unknown>" unknown thesaurus type. This is an error.

See Also:

NetricsThesaurus, NetricsWeightedDictionary, NetricsCombinedThesaurus

NumberOfTokens

public int NumberOfTokens()

Return the number of tokens in the thesaurus. This is not the number of equivalence classes or the number of entries in all equivalence classes. It is a count of the total number of separate tokens. It is usefull mostly for distinguishing one version of a thesaurus from another.