DenominatorPost.md

DenominatorPost

Properties

Name	Type	Description	Notes
event_name	str	The warehouse event column for the denominator. Required.	[optional]
is_numeric	bool	Whether the denominator aggregates a numeric value	[optional]
data_source	MetricDataSourceRefRep		[optional]
unit_aggregation_type	str	How individual unit values are aggregated. One of: average, sum, count_distinct	[optional]
unit_aggregation_field	str	The warehouse column to use for counting distinct values. Required when the unitAggregationType is count_distinct.	[optional]
filters	EventFilter		[optional]
window_start_offset	int	Start of the measurement window in milliseconds	[optional]
window_end_offset	int	End of the measurement window in milliseconds	[optional]
winsor_lower_percentile	float	Lower winsorization percentile in the open interval (0, 100)	[optional]
winsor_upper_percentile	float	Upper winsorization percentile in the open interval (0, 100)	[optional]
winsor_exclude_imputed	bool	Deprecated and ignored. Use winsorIncludeImputed instead.	[optional]
winsor_include_imputed	bool	When true, includes imputed zeros in the percentile bound calculation	[optional]

Example

from launchdarkly_api.models.denominator_post import DenominatorPost

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

# convert the object into a dict
denominator_post_dict = denominator_post_instance.to_dict()
# create an instance of DenominatorPost from a dict
denominator_post_from_dict = DenominatorPost.from_dict(denominator_post_dict)

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