Update a metric. This will affect future calculations using this metric
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
The list of fields to update.
Fields are specified relative to the Metric
(e.g. display_name, fact_table; not metric.display_name or metric.fact_table).
The body is of type object.
OK
A general description of how to aggregate a measurement from a fact table across entities.
Human friendly name of the metric.
Resource name of the entity that the metric is defined on.
Resource name of the fact table that the metric is based on.
The kind of metric.
Time when the metric was first created.
Time when the metric was last updated.
Reference to the identity that created this metric.
Reference to the identity that last updated this metric.
Unique identifier of the metric.
For example: metrics/0smva5nxuhv4yts6paxt
Description of the metric.
Size of the window that the measurements are aggregated within the user.
Offset relative to the first exposure that measurements should start to be collected.
Defines on what time window measurements are aggregated on.
Configuration for variance reduction of the metric.
Determines how NULLs should be handled.
The unit inferred for this metric based on the input units of the measures.
The preferred direction for this metric.
The default relative effect size (MDE/NIM) for this metric. Will be used to auto-populate with the effect size when creating a new experiment.
An optional metric filter that will be used to filter the fact table the metric is derived from.
A SQL string version of the metric filter. Set either this or filter when updating the metric.
Time when the metric was deleted.
Custom labels for this metric.
If this metric is an automatically created internal metric.
The owner of the resource. If not set will default to the creator.