abacusai.dataset_column

Module Contents

Classes

DatasetColumn

A schema description for a column

class abacusai.dataset_column.DatasetColumn(client, name=None, dataType=None, detectedDataType=None, featureType=None, detectedFeatureType=None, originalName=None, validDataTypes=None, timeFormat=None, timestampFrequency=None)

Bases: abacusai.return_class.AbstractApiClass

A schema description for a column

Parameters
  • client (ApiClient) – An authenticated API Client instance

  • name (str) – The unique name of the column.

  • dataType (str) – The underlying data type of each column: INTEGER, FLOAT, STRING, DATE, DATETIME, BOOLEAN, LIST, STRUCT. Refer to the (guide on data types)[https://api.abacus.ai/app/help/class/DataType] for more information.

  • detectedDataType (str) – The detected data type of the column

  • featureType (str) – Feature Type of the column

  • detectedFeatureType (str) – The feature type of the column

  • originalName (str) – The original name of the column

  • validDataTypes (list of enum string) – The valid data type options for this column

  • timeFormat (str) – The detected time format of the column

  • timestampFrequency (str) – The detected frequency of the timestamps in the dataset

__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