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
- cat trained model API
- Get trained models API
- API conventions
- HTTP accept header
