Package de.uni_trier.recap.arg_services.nlp.v1

Interface NlpConfigOrBuilder

  • All Superinterfaces:
    com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
    All Known Implementing Classes:
    NlpConfig, NlpConfig.Builder
    public interface NlpConfigOrBuilder
extends com.google.protobuf.MessageOrBuilder

    • Method Detail

      • getLanguage

        java.lang.String getLanguage()
         Any language supported by spacy (e.g., `en`).
 [Reference](https://spacy.io/usage/models#languages).
        string language = 1 [json_name = "language"];
        Returns:
        The language.

      • getLanguageBytes

        com.google.protobuf.ByteString getLanguageBytes()
         Any language supported by spacy (e.g., `en`).
 [Reference](https://spacy.io/usage/models#languages).
        string language = 1 [json_name = "language"];
        Returns:
        The bytes for language.

      • getSpacyModel

        java.lang.String getSpacyModel()
         Name of the trained spacy pipeline (e.g., `en_core_web_lg`).
 If empty, a blank spacy model will be used (e.g., if you only need embeddings and provide custom `embedding_models`.
 [Example: English models](https://spacy.io/models/en).
        string spacy_model = 2 [json_name = "spacyModel"];
        Returns:
        The spacyModel.

      • getSpacyModelBytes

        com.google.protobuf.ByteString getSpacyModelBytes()
         Name of the trained spacy pipeline (e.g., `en_core_web_lg`).
 If empty, a blank spacy model will be used (e.g., if you only need embeddings and provide custom `embedding_models`.
 [Example: English models](https://spacy.io/models/en).
        string spacy_model = 2 [json_name = "spacyModel"];
        Returns:
        The bytes for spacyModel.

      • getEmbeddingModelsList

        java.util.List<EmbeddingModel> getEmbeddingModelsList()
         List of embeddings to use for computing word/sentence vectors.
 If given, these embeddings will **override** the embeddings of the specified `spacy_model`.
 Multiple models are concatenated to each other, increasing the length of the resulting vector.
        repeated .arg_services.nlp.v1.EmbeddingModel embedding_models = 3 [json_name = "embeddingModels"];

      • getEmbeddingModels

        EmbeddingModel getEmbeddingModels​(int index)
         List of embeddings to use for computing word/sentence vectors.
 If given, these embeddings will **override** the embeddings of the specified `spacy_model`.
 Multiple models are concatenated to each other, increasing the length of the resulting vector.
        repeated .arg_services.nlp.v1.EmbeddingModel embedding_models = 3 [json_name = "embeddingModels"];

      • getEmbeddingModelsCount

        int getEmbeddingModelsCount()
         List of embeddings to use for computing word/sentence vectors.
 If given, these embeddings will **override** the embeddings of the specified `spacy_model`.
 Multiple models are concatenated to each other, increasing the length of the resulting vector.
        repeated .arg_services.nlp.v1.EmbeddingModel embedding_models = 3 [json_name = "embeddingModels"];

      • getEmbeddingModelsOrBuilderList

        java.util.List<? extends EmbeddingModelOrBuilder> getEmbeddingModelsOrBuilderList()
         List of embeddings to use for computing word/sentence vectors.
 If given, these embeddings will **override** the embeddings of the specified `spacy_model`.
 Multiple models are concatenated to each other, increasing the length of the resulting vector.
        repeated .arg_services.nlp.v1.EmbeddingModel embedding_models = 3 [json_name = "embeddingModels"];

      • getEmbeddingModelsOrBuilder

        EmbeddingModelOrBuilder getEmbeddingModelsOrBuilder​(int index)
         List of embeddings to use for computing word/sentence vectors.
 If given, these embeddings will **override** the embeddings of the specified `spacy_model`.
 Multiple models are concatenated to each other, increasing the length of the resulting vector.
        repeated .arg_services.nlp.v1.EmbeddingModel embedding_models = 3 [json_name = "embeddingModels"];

      • getSimilarityMethodValue

        int getSimilarityMethodValue()
         Mathematical function to determine a similarity score given two strings.
        .arg_services.nlp.v1.SimilarityMethod similarity_method = 4 [json_name = "similarityMethod"];
        Returns:
        The enum numeric value on the wire for similarityMethod.

      • getSimilarityMethod

        SimilarityMethod getSimilarityMethod()
         Mathematical function to determine a similarity score given two strings.
        .arg_services.nlp.v1.SimilarityMethod similarity_method = 4 [json_name = "similarityMethod"];
        Returns:
        The similarityMethod.