Metrics

The metrics are metadata about your dataset and the data in it. They allow you to control the evolution of your data as well as performing verification over their evolution. Metrics are computed using probes activated here. To visualize a metric, you need to activate the corresponding probe.

General settings

Computations : {{totalCount}} metric{{totalCount>1?'s':''}} in {{computationPlan.length}} run{{computationPlan.length>1?'s':''}} 
On {{run.engineType}} ({{getEngineSpeed(run.engineType)}}):
{{MetricsUtils.getMetricDisplayName(computation)}}

{{getAvailableProbeName(availableProbe)}}

Auto compute after build:
Auto compute after build:
Auto compute after build:
{{selection.selectedObjects.length}} / {{selection.allObjects.length}}
{{column.column}}
{{column.column}}

This probe creates metrics that are the values of one or more cells from the dataset itself. This allows you to display dataset values directly as metrics, with historization.

You select which row will be used by defining a filter over the dataset, and a policy for selecting the row to use when multiple rows match the filter. As an advanced option, you can use several rows, and this will create an array metric instead of a single value metric.

You can select multiple columns to create several metrics at once, for the same row(s)

Row(s) selection
{{column.column}}
{{column.column}}

See progress