Metric Class

Represents a metric returned in a data drift analysis.

The Metric class is for internal usage only. Use the get_output method of a DataDriftDetector object to return metrics.

Metric constructor.

Constructor

Metric(name, value, extended_properties, schema_version='1.0')

Name	Description
name Required	str The name of the metric.
value Required	float The value of the metric.
extended_properties Required	dict A dictionary of string to Python primitive type (int, float, str).
schema_version	str Optional schema version of the metric. Set to METRIC_SCHEMA_VERSION_CUR if no specific value set. Default value: 1.0
name Required	str The name of the metric.
value Required	float The value of the metric.
extended_properties Required	dict A dictionary of string to Python primitive type (int, float, str).
schema_version Required	str Optional schema version of the metric. Set to METRIC_SCHEMA_VERSION_CUR if no specific value set.

add_extended_properties
get_extended_properties
validate_extended_properties_type

add_extended_properties(ep)

Name	Description
ep Required

get_extended_properties()

validate_extended_properties_type(key, value)

Name	Description
key Required
value Required