Responses
- 200 application/json
Hide response attributes Show response attributes object
- defaults
object Required Hide defaults attributes Show defaults attributes object
- anomaly_detectors
object Required Hide anomaly_detectors attributes Show anomaly_detectors attributes object
categorization_analyzer
string | object Required One of: Hide attributes Show attributes
- 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 calledml_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 yourcategorization_analyzer
. Additionally, theml_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 yourcategorization_analyzer
.
- 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 Hide datafeeds attribute Show datafeeds attribute object
- scroll_size
number Required
- limits
object Required Hide limits attributes Show limits attributes object
- total_ml_processors
number max_model_memory_limit
number | string total_ml_memory
number | string Required
- upgrade_mode
boolean Required - native_code
object Required Hide native_code attributes Show native_code attributes object
- build_hash
string Required - version
string Required