Package opennlp.tools.util.model

Class ModelUtil

java.lang.Object

opennlp.tools.util.model.ModelUtil

public final class ModelUtil
extends Object

Utility class for handling of models.

Method Summary

Modifier and Type	Method	Description
static void	addCutoffAndIterations(Map<String,String> manifestInfoEntries, int cutoff, int iterations)	Adds cutoff and iterations to manifestInfoEntries.
static TrainingParameters	createDefaultTrainingParameters()	Creates the default TrainingParameters in case they are not provided.
static byte[]	read(InputStream in)	Reads from the provided InputStream into a byte array.
static boolean	validateOutcomes(MaxentModel model, String... expectedOutcomes)	Checks if the expectedOutcomes are all contained as outcomes in the given model.
static void	writeModel(MaxentModel model, OutputStream out)	Writes the given MaxentModel to the specified OutputStream.

Methods inherited from class java.lang.Object

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

Method Details

writeModel

public static void writeModel(MaxentModel model,
 OutputStream out)
                       throws IOException,
IllegalArgumentException

Writes the given MaxentModel to the specified OutputStream.

Note: The provided stream is not closed.

Parameters:

model - The model to be written.

out - the stream to be used for writing.

Throws:

IOException - Thrown if IO errors occurred.

IllegalArgumentException - Thrown if one of the parameters is null.

validateOutcomes

public static boolean validateOutcomes(MaxentModel model,
 String... expectedOutcomes)

Checks if the expectedOutcomes are all contained as outcomes in the given model.

Parameters:

model - A valid MaxentModel instance.

expectedOutcomes - The outcomes to be checked for.

Returns:

true if all expected outcomes are the only outcomes of the model false otherwise.

read

public static byte[] read(InputStream in)
                   throws IOException

Reads from the provided InputStream into a byte array.

Parameters:

in - A valid, open InputStream to read data from.

Returns:

A byte[] with the data read.

Throws:

IOException - Thrown if IO errors occurred.

addCutoffAndIterations

public static void addCutoffAndIterations(Map<String,String> manifestInfoEntries,
 int cutoff,
 int iterations)

Adds cutoff and iterations to manifestInfoEntries.

Parameters:

manifestInfoEntries - A Map representing a manifest.properties config.

cutoff - The cut-off value to set. Must be greater than 0.

iterations - The number of iterations to set. Must be greater than 0.

createDefaultTrainingParameters

@Internal
public static TrainingParameters createDefaultTrainingParameters()

Creates the default TrainingParameters in case they are not provided.

Note: Do not use this method, internal use only!

Returns:

The TrainingParameters instance with default configuration.