ElasticSearch之cat trained model API

合集 - ElasticSearch(59)

37.ElasticSearch之cat trained model API2023-11-29

38.ElasticSearch之cat transforms API2023-11-29 39.ElasticSearch之Merge2023-11-30 40.ElasticSearch之Force merge API2023-11-30 41.ElasticSearch之Task management API2023-11-30 42.ElasticSearch之Slow Log2023-12-01 43.ElasticSearch之Analyze index disk usage API2023-12-02 44.ElasticSearch之Clear cache API2023-12-02 45.ElasticSearch之Create index API2023-12-02 46.ElasticSearch之Clone index API2023-12-02 47.ElasticSearch之Close index API2023-12-02 48.ElasticSearch之Open index API2023-12-02 49.ElasticSearch之Delete index API2023-12-02 50.ElasticSearch之Exists API2023-12-02 51.ElasticSearch之Get index API2023-12-02 52.ElasticSearch之Get index settings API2023-12-02 53.ElasticSearch之Index stats API2023-12-02 54.ElasticSearch之Refresh API2023-12-02 55.ElasticSearch之Shard request cache settings2023-12-09 56.ElasticSearch之Node query cache settings2023-12-11 57.ElasticSearch之Index modules2023-12-17 58.ElasticSearch之集群中的节点2024-10-05 59.ElasticSearch之网络配置2024-10-06

命令样例如下：

 curl -X GET "https://localhost:9200/_cat/ml/trained_models?v=true&pretty" --cacert $ES_HOME/config/certs/http_ca.crt -u "elastic:ohCxPH=QBE+s5=*lo7F9"

执行结果输出如下：

 id                 heap_size operations create_time              type       ingest.pipelines data_frame.id
lang_ident_model_1 1mb       39629      2019-12-05T12:28:34.594Z lang_ident 0                __none__

查看帮助，命令如下：

 curl -X GET "https://localhost:9200/_cat/ml/trained_models?v=true&help=true&pretty" --cacert $ES_HOME/config/certs/http_ca.crt -u "elastic:ohCxPH=QBE+s5=*lo7F9"

执行结果输出如下：

 id                      |                                 | the trained model id
created_by              | c,createdBy                     | who created the model
heap_size               | hs,modelHeapSize                | the estimated heap size to keep the model in memory
operations              | o,modelOperations               | the estimated number of operations to use the model
license                 | l                               | The license level of the model
create_time             | ct                              | The time the model was created
version                 | v                               | The version of Elasticsearch when the model was created
description             | d                               | The model description
type                    | t                               | The model type
ingest.pipelines        | ip,ingestPipelines              | The number of pipelines referencing the model
ingest.count            | ic,ingestCount                  | The total number of docs processed by the model
ingest.time             | it,ingestTime                   | The total time spent processing docs with this model
ingest.current          | icurr,ingestCurrent             | The total documents currently being handled by the model
ingest.failed           | if,ingestFailed                 | The total count of failed ingest attempts with this model
data_frame.id           | dfid,dataFrameAnalytics         | The data frame analytics config id that created the model (if still available)
data_frame.create_time  | dft,dataFrameAnalyticsTime      | The time the data frame analytics config was created
data_frame.source_index | dfsi,dataFrameAnalyticsSrcIndex | The source index used to train in the data frame analysis
data_frame.analysis     | dfa,dataFrameAnalyticsAnalysis  | The analysis used by the data frame to build the model

相关资料

posted @ 2023-11-29 01:09 jackieathome 阅读(12) 评论(0) 编辑收藏举报

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	id heap_size operations create_time type ingest.pipelines data_frame.id
	lang_ident_model_1 1mb 39629 2019-12-05T12:28:34.594Z lang_ident 0 __none__

	id \| \| the trained model id
	created_by \| c,createdBy \| who created the model
	heap_size \| hs,modelHeapSize \| the estimated heap size to keep the model in memory
	operations \| o,modelOperations \| the estimated number of operations to use the model
	license \| l \| The license level of the model
	create_time \| ct \| The time the model was created
	version \| v \| The version of Elasticsearch when the model was created
	description \| d \| The model description
	type \| t \| The model type
	ingest.pipelines \| ip,ingestPipelines \| The number of pipelines referencing the model
	ingest.count \| ic,ingestCount \| The total number of docs processed by the model
	ingest.time \| it,ingestTime \| The total time spent processing docs with this model
	ingest.current \| icurr,ingestCurrent \| The total documents currently being handled by the model
	ingest.failed \| if,ingestFailed \| The total count of failed ingest attempts with this model
	data_frame.id \| dfid,dataFrameAnalytics \| The data frame analytics config id that created the model (if still available)
	data_frame.create_time \| dft,dataFrameAnalyticsTime \| The time the data frame analytics config was created
	data_frame.source_index \| dfsi,dataFrameAnalyticsSrcIndex \| The source index used to train in the data frame analysis
	data_frame.analysis \| dfa,dataFrameAnalyticsAnalysis \| The analysis used by the data frame to build the model