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Summary\r\n\r\nThe log entry rate anomaly chart on the analysis results screen should provide a link to the ML UI so that users' can investigate things further within the specialised ML views if needed. \r\n\r\nThe placement of these buttons can be seen in #47201.\r\n\r\nWe can deep link to a single metric viewer for a single dataset by supplying the `job_id`, dataset name and time range.\r\n\r\nThe full link for the overall `jobId` would resemble the following, we need to worry about the `jobIds` and `time` parameters:\r\n\r\n`app/ml#/timeseriesexplorer?_g=(ml:(jobIds:!(kibana-logs-ui-default-default-log-entry-rate)),refreshInterval:(pause:!t,value:0),time:(from:'2019-10-14T09:47:15.000Z',to:'2019-10-14T09:47:15.000Z'))&_a=(mlSelectInterval:(display:Auto,val:auto),mlSelectSeverity:(color:%23d2e9f7,display:warning,val:0),query:(query_string:(analyze_wildcard:!t,query:'*')))`\r\n\r\nThe full link for a specific `event.dataset` would look like the following, here we need to worry about the `jobIds`, `time` and `mlTimeSeriesExplorer.entities` parameters : \r\n\r\n`http://localhost:5601/chm/s/kerry/app/ml#/timeseriesexplorer?_g=(ml:(jobIds:!(kibana-logs-ui-kerry-default-log-entry-rate)),refreshInterval:(pause:!t,value:0),time:(from:'2019-09-19T23:33:26.000Z',to:'2019-10-14T09:45:00.000Z'))&_a=(mlSelectInterval:(display:Auto,val:auto),mlSelectSeverity:(color:%23d2e9f7,display:warning,val:0),mlTimeSeriesExplorer:(detectorIndex:0,entities:(event.dataset:redis.log)),query:(query_string:(analyze_wildcard:!t,query:'*')))`\r\n\r\n## Acceptance criteria\r\n\r\n- \"Analyze in ML\" buttons will exist that navigate to the relevant portions of the ML UI\r\n\r\n"}}
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