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Get machine learning info API
editGet machine learning info API
editReturns defaults and limits used by machine learning.
Request
editGET _ml/info
Prerequisites
editRequires the monitor_ml
cluster privilege. This privilege is included in the
machine_learning_user
built-in role.
Description
editThis endpoint is designed to be used by a user interface that needs to fully understand machine learning configurations where some options are not specified, meaning that the defaults should be used. This endpoint may be used to find out what those defaults are. It also provides information about the maximum size of machine learning jobs that could run in the current cluster configuration.
Examples
editThe endpoint takes no arguments:
resp = client.ml.info() print(resp)
response = client.ml.info puts response
const response = await client.ml.info(); console.log(response);
GET _ml/info
This is a possible response:
{ "defaults" : { "anomaly_detectors" : { "categorization_analyzer" : { "char_filter" : [ "first_line_with_letters" ], "tokenizer" : "ml_standard", "filter" : [ { "type" : "stop", "stopwords" : [ "Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday", "Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun", "January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December", "Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec", "GMT", "UTC" ] }, { "type": "limit", "max_token_count": "100" } ] }, "model_memory_limit" : "1gb", "categorization_examples_limit" : 4, "model_snapshot_retention_days" : 10, "daily_model_snapshot_retention_after_days" : 1 }, "datafeeds" : { "scroll_size" : 1000 } }, "upgrade_mode": false, "native_code" : { "version": "7.0.0", "build_hash": "99a07c016d5a73" }, "limits" : { "effective_max_model_memory_limit": "28961mb", "total_ml_memory": "86883mb", "total_ml_processors": 16, "max_single_ml_node_processors": 16 } }