abacusai.prediction_dataset

Classes

AbstractApiClass

PredictionDataset

Batch Input Datasets

Module Contents

class abacusai.prediction_dataset.AbstractApiClass(client, id)
__eq__(other)

Return self==value.

_get_attribute_as_dict(attribute)
class abacusai.prediction_dataset.PredictionDataset(client, datasetId=None, datasetType=None, datasetVersion=None, default=None, required=None)

Bases: abacusai.return_class.AbstractApiClass

Batch Input Datasets

Parameters:

  • client (ApiClient) – An authenticated API Client instance

  • datasetId (str) – The unique identifier of the dataset

  • datasetType (str) – dataset type

  • datasetVersion (str) – The unique identifier of the dataset version used for predictions

  • default (bool) – If true, this dataset is the default dataset in the model

  • required (bool) – If true, this dataset is required for the batch prediction

__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