Examples of opennlp.tools.util.featuregen.FeatureGeneratorResourceProvider

opennlp.tools.util.featuregen.FeatureGeneratorResourceProvider
The {@link FeatureGeneratorResourceProvider} provides access to the resourcesprovided in the model. Inside the model resources are identified by a name.
Note:
This class is not be intended to be implemented by users.
All implementing classes must be thread safe.

    if (descriptorBytes != null) {
      InputStream descriptorIn = new ByteArrayInputStream(descriptorBytes);
  
      AdaptiveFeatureGenerator generator = null;
      try {
        generator = GeneratorFactory.create(descriptorIn, new FeatureGeneratorResourceProvider() {
  
          public Object getResource(String key) {
            return artifactMap.get(key);
          }
        });

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      throws IOException {
    AdaptiveFeatureGenerator featureGenerator;


    if (generatorDescriptor != null) {
      featureGenerator = GeneratorFactory.create(new ByteArrayInputStream(
          generatorDescriptor), new FeatureGeneratorResourceProvider() {


        public Object getResource(String key) {
          return resources.get(key);
        }
      });

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    if (descriptorBytes != null) {
      InputStream descriptorIn = new ByteArrayInputStream(descriptorBytes);
  
      AdaptiveFeatureGenerator generator = null;
      try {
        generator = GeneratorFactory.create(descriptorIn, new FeatureGeneratorResourceProvider() {
  
          public Object getResource(String key) {
            return artifactMap.get(key);
          }
        });

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      throws IOException {
    AdaptiveFeatureGenerator featureGenerator;


    if (generatorDescriptor != null) {
      featureGenerator = GeneratorFactory.create(new ByteArrayInputStream(
          generatorDescriptor), new FeatureGeneratorResourceProvider() {


        public Object getResource(String key) {
          if (resources != null)
            return resources.get(key);
          return null;

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          throws IOException {
    AdaptiveFeatureGenerator featureGenerator;


    if (generatorDescriptor != null) {
      featureGenerator = GeneratorFactory.create(new ByteArrayInputStream(
              generatorDescriptor), new FeatureGeneratorResourceProvider() {


                public Object getResource(String key) {
                  if (resources != null) {
                    return resources.get(key);
                  }

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    if (descriptorBytes != null) {
      InputStream descriptorIn = new ByteArrayInputStream(descriptorBytes);


      AdaptiveFeatureGenerator generator = null;
      try {
        generator = GeneratorFactory.create(descriptorIn, new FeatureGeneratorResourceProvider() {


          public Object getResource(String key) {
            if (artifactProvider != null) {
              return artifactProvider.getArtifact(key);
            }

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Related Classes of opennlp.tools.util.featuregen.FeatureGeneratorResourceProvider

opennlp.tools.namefind.NameFinderME

opennlp.tools.namefind.TokenNameFinderFactory

opennlp.tools.namefind.TokenNameFinderModel

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