Responses

• 200 application/json
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  • defaults object Required

    Additional properties are allowed.

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    • anomaly_detectors object Required

      Additional properties are allowed.

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      • categorization_analyzer string | object Required

        One of:

        _types:CategorizationAnalyzer string _types:CategorizationAnalyzerDefinition object

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        • char_filter array

          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.

          External documentation
        • filter array

          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.

          External documentation

        • tokenizer object | string

          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.

          One of:

          object-1 object string-2 string

          Additional properties are allowed.
      • categorization_examples_limit number Required
      • model_memory_limit string Required
      • model_snapshot_retention_days number Required
      • daily_model_snapshot_retention_after_days number Required
    • datafeeds object Required

      Additional properties are allowed.

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      • scroll_size number Required
  • limits object Required

    Additional properties are allowed.

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    • max_single_ml_node_processors number
    • total_ml_processors number

    • max_model_memory_limit number | string

      One of:

      _types:ByteSize number _types:ByteSize string

    • effective_max_model_memory_limit number | string

      One of:

      _types:ByteSize number _types:ByteSize string

    • total_ml_memory number | string Required

      One of:

      _types:ByteSize number _types:ByteSize string
  • upgrade_mode boolean Required
  • native_code object Required

    Additional properties are allowed.

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    • build_hash string Required
    • version string Required