Custom rules parameter

Elastic Stack Kibana
1

Hello,

I have some data i collected and visualizing in Kibana.Now I have defined a ML job to monitor high/low filerate but I want the ML analysis to stop outside the range the data is collected(eg: 7 to 9pm data are not collected everyday). What I want to know is can I use “time“ as value to the parameter applies_to like

"custom_rules": [
      {
        "actions": ["skip_result", "skip_model_update"],
        "conditions": [
          {
            "applies_to": "time",
            "operator": "lt",
            "value": 7
          },
          {
            "applies_to": "time",
            "operator": "gte",
            "value": 12
          }
        ]
      }
    ]

I have a doubt and I would like to know if it’s correct or how I exclude this range for the model.

Thanks.

2

Hello @Le_Philosophe

As per the documentation it should work :

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image1734×927 98.7 KB

Thanks!!

3

Okay,

Can I have multiple scope associated with their conditions and actions like i use a filter to target a feed type and for each feed if they are not in their range the result is not compute for those splits models (I use feed_id as split field when creating my job)

4

I’d filter out the data using a filter in the datafeed itself (such that none of the data is even sent to the ML algorithms)

Other option is to use Calendar Events

5

Like having multiple jobs for each feed?

for the the “time“ value for “applies_to” variable it’s the time the bucket start or else?