private bool LoadPartOfSpeechTagger(string filePath)
{
try
{
AnsDecoderStream stream = new AnsDecoderStream(
new FileStream(filePath, FileMode.Open, FileAccess.Read)
);
PartOfSpeechTagger = AveragedPerceptronTagger.Load(stream);
stream.Close();
}
catch (IOException)
{
return(false);
}
return(true);
}
private static bool LoadModel(KeywordPredictorFileMapping mapping)
{
IKeywordPredictor predictor = mapping.KeywordPredictorType.GetMethod("GetGlobalModel").Invoke(null, null) as IKeywordPredictor;
Stream streamIn = null;
try
{
streamIn = new AnsDecoderStream(new FileStream(mapping.DefaultFileLocation, FileMode.Open, FileAccess.Read));
} catch (FileNotFoundException)
{
return(false);
}
using (streamIn)
{
return(predictor.Load(streamIn));
}
}
public static AveragedPerceptronTagger GetTagger()
{
if (Global == null)
{
AnsDecoderStream stream;
try
{
stream = new AnsDecoderStream(new FileStream(DefaultModelFileLocations.POS_TAGGER_ENG_FILE, FileMode.Open, FileAccess.Read));
}
catch (IOException)
{
return(null);
}
using (stream)
Global = Load(stream);
}
return(Global);
}
/**
* Summary:
* Loads the the currently selected ProblemPredictor from the file specified
* Note:
* This method does not do the above currently. It is hard coded to use the KNNProblemPredictor.
* This is a hold out until the proper method is in place to switch between implementations
* through a configuration file.
*/
private bool LoadProblemPredictor(string filePath)
{
ProblemPredictor = new KNNProblemPredictor();
Stream streamIn;
try
{
streamIn = new AnsDecoderStream(new FileStream(filePath, FileMode.Open, FileAccess.Read));
} catch (IOException)
{
return(false);
}
if (!ProblemPredictor.Load(streamIn))
{
streamIn.Close();
ProblemPredictorValid = false;
return(false);
}
streamIn.Close();
ProblemPredictorValid = true;
return(true);
}
/**
* Summary:
* Loads the the currently selected KeywordClusterer from the file specified
* Note:
* This method does not do the above currently. It is hard coded to use the KeywordSimilarityClusterer.
* This is a hold out until the proper method is in place to switch between implementations
* through a configuration file.
*/
private bool LoadKeywordClusterer(string filePath)
{
KeywordClusterer = new KeywordSimilarityClusterer();
AnsDecoderStream decoderStream;
try
{
decoderStream = new AnsDecoderStream(
new FileStream(filePath, FileMode.Open, FileAccess.Read)
);
} catch (IOException)
{
return(false);
}
if (!KeywordClusterer.Load(decoderStream))
{
decoderStream.Close();
KeywordClustererValid = false;
return(false);
}
decoderStream.Close();
KeywordClustererValid = true;
return(true);
}
/**
* Summary:
* Loads the the currently selected KeywordPredictor from the file specified
* Note:
* This method does not do the above currently. It is hard coded to use the NaiveBayesKeywordPredictor.
* This is a hold out until the proper method is in place to switch between implementations
* through a configuration file.
*/
private bool LoadKeywordPredictor(string filePath)
{
KeywordPredictor = new NaiveBayesKeywordPredictor();
AnsDecoderStream streamIn;
try
{
streamIn = new AnsDecoderStream(
new FileStream(filePath, FileMode.Open, FileAccess.Read)
);
} catch (IOException)
{
return(false);
}
if (!KeywordPredictor.Load(streamIn))
{
streamIn.Close();
KeywordPredictorValid = false;
return(false);
}
streamIn.Close();
KeywordPredictorValid = true;
return(true);
}
