abacusai.nested_feature_schema

Classes

`PointInTimeFeatureInfo`	A point-in-time infos for a feature
`AbstractApiClass`
`NestedFeatureSchema`	A schema description for a nested feature

Module Contents

class abacusai.nested_feature_schema.PointInTimeFeatureInfo(client, expression=None, groupName=None)

Bases: abacusai.return_class.AbstractApiClass

A point-in-time infos for a feature

Parameters:

client (ApiClient) – An authenticated API Client instance
expression (str) – SQL aggregate expression which can convert a sequence of rows into a scalar value.
groupName (str) – The group name this point-in-time feature belongs to.

__repr__(): Return repr(self).

to_dict()

Get a dict representation of the parameters in this class

Returns:: The dict value representation of the class parameters
Return type:: dict

class abacusai.nested_feature_schema.AbstractApiClass(client, id)

__eq__(other): Return self==value.

_get_attribute_as_dict(attribute)

class abacusai.nested_feature_schema.NestedFeatureSchema(client, name=None, featureType=None, featureMapping=None, dataType=None, detectedFeatureType=None, sourceTable=None, pointInTimeInfo={})

Bases: abacusai.return_class.AbstractApiClass

A schema description for a nested feature

Parameters:

client (ApiClient) – An authenticated API Client instance
name (str) – The unique name of the column
featureType (str) – Feature Type of the Feature
featureMapping (str) – The Feature Mapping of the feature
dataType (str) – Data Type of the Feature
detectedFeatureType (str) – The detected feature type for this feature
sourceTable (str) – The source table of the column
pointInTimeInfo (PointInTimeFeatureInfo) – Point in time information for this feature

__repr__(): Return repr(self).

to_dict()

Get a dict representation of the parameters in this class

Returns:: The dict value representation of the class parameters
Return type:: dict