abacusai.eda_data_consistency

Classes

DataConsistencyDuplication

Data Consistency for duplication within data

AbstractApiClass

EdaDataConsistency

Eda Data Consistency, contained the duplicates in the base version, Comparison version, Deletions between the base and comparison and feature transformations between the base and comparison data.

Module Contents

class abacusai.eda_data_consistency.DataConsistencyDuplication(client, totalCount=None, numDuplicates=None, sample={})

Bases: abacusai.return_class.AbstractApiClass

Data Consistency for duplication within data

Parameters:

  • client (ApiClient) – An authenticated API Client instance

  • totalCount (int) – Total count of rows in data.

  • numDuplicates (int) – Number of Duplicates based on primary keys in data.

  • sample (FeatureRecord) – A list of dicts enumerating rows the rows that contained duplications in primary keys.

__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.eda_data_consistency.AbstractApiClass(client, id)
__eq__(other)

Return self==value.

_get_attribute_as_dict(attribute)
class abacusai.eda_data_consistency.EdaDataConsistency(client, columnNames=None, primaryKeys=None, transformationColumnNames=None, baseDuplicates={}, compareDuplicates={}, deletions={}, transformations={})

Bases: abacusai.return_class.AbstractApiClass

Eda Data Consistency, contained the duplicates in the base version, Comparison version, Deletions between the base and comparison and feature transformations between the base and comparison data.

Parameters:

  • client (ApiClient) – An authenticated API Client instance

  • columnNames (list) – Name of all the features in the data

  • primaryKeys (list) – Name of the primary keys in the data

  • transformationColumnNames (list) – Name of all the features that are not the primary keys

  • baseDuplicates (DataConsistencyDuplication) – A DataConsistencyDuplication describing the number of duplicates within the data

  • compareDuplicates (DataConsistencyDuplication) – A DataConsistencyDuplication describing the number of duplicates within the data

  • deletions (DataConsistencyDuplication) – A DataConsistencyDeletion describing the number of deletion between two versions in the data

  • transformations (DataConsistencyTransformation) – A DataConsistencyTransformation the number of changes that occured per feature in the data

__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