MetricInGroupRep.md

MetricInGroupRep

Properties

Name	Type	Description	Notes
key	str	The metric key
version_id	str	The version ID of the metric	[optional]
name	str	The metric name
kind	str	The kind of event the metric tracks
is_numeric	bool	For custom metrics, whether to track numeric changes in value against a baseline (<code>true</code>) or to track a conversion when an end user takes an action (<code>false</code>).	[optional]
unit_aggregation_type	str	The type of unit aggregation to use for the metric	[optional]
event_key	str	The event key sent with the metric. Only relevant for custom metrics.	[optional]
links	Dict[str, Link]	The location and content type of related resources
name_in_group	str	Name of the metric when used within the associated metric group. Can be different from the original name of the metric. Required if and only if the metric group is a <code>funnel</code>.	[optional]
randomization_units	List[str]	The randomization units for the metric	[optional]

Example

from launchdarkly_api.models.metric_in_group_rep import MetricInGroupRep

# TODO update the JSON string below
json = "{}"
# create an instance of MetricInGroupRep from a JSON string
metric_in_group_rep_instance = MetricInGroupRep.from_json(json)
# print the JSON string representation of the object
print(MetricInGroupRep.to_json())

# convert the object into a dict
metric_in_group_rep_dict = metric_in_group_rep_instance.to_dict()
# create an instance of MetricInGroupRep from a dict
metric_in_group_rep_from_dict = MetricInGroupRep.from_dict(metric_in_group_rep_dict)

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