great_expectations.core.metric

Module Contents

Classes

Metric(metric_name, metric_kwargs, metric_value)	A Metric associates a value with some name and configuration. The specific configuration parameters that are
MetricIdentifier(metric_name, metric_kwargs_id)	A MetricIdentifier serves as a key to store and retrieve Metrics.
BatchMetric(metric_name, metric_kwargs, batch_identifier, metric_value)	A BatchMetric is a metric associated with a particular Batch of data.
ValidationMetric(run_id, data_asset_name, expectation_suite_identifier, metric_name, metric_kwargs, metric_value)	A Metric associates a value with some name and configuration. The specific configuration parameters that are
ValidationMetricIdentifier(run_id, data_asset_name, expectation_suite_identifier, metric_name, metric_kwargs_id)	A MetricIdentifier serves as a key to store and retrieve Metrics.

class great_expectations.core.metric.Metric(metric_name, metric_kwargs, metric_value)

A Metric associates a value with some name and configuration. The specific configuration parameters that are relevant for a given metric’s identity depend on the metric. For example, the metric column_mean depends on a column name.

property metric_name(self)

property metric_kwargs(self)

property metric_kwargs_id(self)

class great_expectations.core.metric.MetricIdentifier(metric_name, metric_kwargs_id)

Bases: great_expectations.core.data_context_key.DataContextKey

A MetricIdentifier serves as a key to store and retrieve Metrics.

property metric_name(self)

property metric_kwargs_id(self)

classmethod from_object(cls, metric)

to_fixed_length_tuple(self)

to_tuple(self)

classmethod from_fixed_length_tuple(cls, tuple_)

classmethod from_tuple(cls, tuple_)

class great_expectations.core.metric.BatchMetric(metric_name, metric_kwargs, batch_identifier, metric_value)

Bases: great_expectations.core.metric.Metric

A BatchMetric is a metric associated with a particular Batch of data.

property batch_identifier(self)

class great_expectations.core.metric.ValidationMetric(run_id, data_asset_name, expectation_suite_identifier, metric_name, metric_kwargs, metric_value)

Bases: great_expectations.core.metric.Metric

A Metric associates a value with some name and configuration. The specific configuration parameters that are relevant for a given metric’s identity depend on the metric. For example, the metric column_mean depends on a column name.

property run_id(self)

property data_asset_name(self)

property expectation_suite_identifier(self)

class great_expectations.core.metric.ValidationMetricIdentifier(run_id, data_asset_name, expectation_suite_identifier, metric_name, metric_kwargs_id)

Bases: great_expectations.core.metric.MetricIdentifier

A MetricIdentifier serves as a key to store and retrieve Metrics.

property run_id(self)

property data_asset_name(self)

property expectation_suite_identifier(self)

classmethod from_object(cls, validation_metric)

to_tuple(self)

to_fixed_length_tuple(self)

to_evaluation_parameter_urn(self)

classmethod from_tuple(cls, tuple_)

classmethod from_fixed_length_tuple(cls, tuple_)