Package co.elastic.clients.elasticsearch.ml

Class CategorizationAnalyzerDefinition

java.lang.Object
co.elastic.clients.elasticsearch.ml.CategorizationAnalyzerDefinition
All Implemented Interfaces:
JsonpSerializable
@JsonpDeserializable
public class CategorizationAnalyzerDefinition
extends java.lang.Object
implements JsonpSerializable
See Also:
API specification

  • Field Details

  • Method Details

    • of

      public static CategorizationAnalyzerDefinition of​(java.util.function.Function<CategorizationAnalyzerDefinition.Builder,​ObjectBuilder<CategorizationAnalyzerDefinition>> fn)

    • charFilter

      public final java.util.List<CharFilter> charFilter()
      One or more character filters. In addition to the built-in character filters, other plugins can provide more character filters. If this property is not specified, no character filters are applied prior to categorization. If you are customizing some other aspect of the analyzer and you need to achieve the equivalent of categorization_filters (which are not permitted when some other aspect of the analyzer is customized), add them here as pattern replace character filters.

      API name: char_filter

    • filter

      public final java.util.List<TokenFilter> filter()
      One or more token filters. In addition to the built-in token filters, other plugins can provide more token filters. If this property is not specified, no token filters are applied prior to categorization.

      API name: filter

    • tokenizer

      @Nullable public final Tokenizer tokenizer()
      The name or definition of the tokenizer to use after character filters are applied. This property is compulsory if categorization_analyzer is specified as an object. Machine learning provides a tokenizer called ml_standard that tokenizes in a way that has been determined to produce good categorization results on a variety of log file formats for logs in English. If you want to use that tokenizer but change the character or token filters, specify "tokenizer": "ml_standard" in your categorization_analyzer. Additionally, the ml_classic tokenizer is available, which tokenizes in the same way as the non-customizable tokenizer in old versions of the product (before 6.2). ml_classic was the default categorization tokenizer in versions 6.2 to 7.13, so if you need categorization identical to the default for jobs created in these versions, specify "tokenizer": "ml_classic" in your categorization_analyzer.

      API name: tokenizer

    • serialize

      public void serialize​(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper)
      Serialize this object to JSON.
      Specified by:
      serialize in interface JsonpSerializable

    • serializeInternal

      protected void serializeInternal​(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper)

    • setupCategorizationAnalyzerDefinitionDeserializer

      protected static void setupCategorizationAnalyzerDefinitionDeserializer​(ObjectDeserializer<CategorizationAnalyzerDefinition.Builder> op)