abacusai.prediction_input

Classes

PredictionDataset

Batch Input Datasets

PredictionFeatureGroup

Batch Input Feature Group

AbstractApiClass

PredictionInput

Batch inputs

Module Contents

class abacusai.prediction_input.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

class abacusai.prediction_input.PredictionFeatureGroup(client, featureGroupId=None, featureGroupVersion=None, datasetType=None, default=None, required=None)

Bases: abacusai.return_class.AbstractApiClass

Batch Input Feature Group

Parameters:

  • client (ApiClient) – An authenticated API Client instance

  • featureGroupId (str) – The unique identifier of the feature group

  • featureGroupVersion (str) – The unique identifier of the feature group version used for predictions

  • datasetType (str) – dataset type

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

  • required (bool) – If true, this feature group 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

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

Return self==value.

_get_attribute_as_dict(attribute)
class abacusai.prediction_input.PredictionInput(client, featureGroupDatasetIds=None, datasetIdRemap=None, featureGroups={}, datasets={})

Bases: abacusai.return_class.AbstractApiClass

Batch inputs

Parameters:

  • client (ApiClient) – An authenticated API Client instance

  • featureGroupDatasetIds (list) – The list of dataset IDs to use as input

  • datasetIdRemap (dict) – Replacement datasets to swap as prediction input

  • featureGroups (PredictionFeatureGroup) – List of prediction feature groups

  • datasets (PredictionDataset) – List of prediction datasets

__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