abacusai.drift_distributions

Classes

DriftDistribution	How actuals or predicted values have changed in the training data versus predicted data
AbstractApiClass
DriftDistributions	For either actuals or predicted values, how it has changed in the training data versus some specified window

Module Contents

class abacusai.drift_distributions.DriftDistribution(client, trainColumn=None, predictedColumn=None, metrics=None, distribution={})

Bases: abacusai.return_class.AbstractApiClass

How actuals or predicted values have changed in the training data versus predicted data

Parameters:

• client (ApiClient) – An authenticated API Client instance

• trainColumn (str) – The feature name in the train table.

• predictedColumn (str) – The feature name in the prediction table.

• metrics (dict) – Drift measures.

• distribution (FeatureDistribution) – A FeatureDistribution, how the training data compares to the predicted 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

class abacusai.drift_distributions.AbstractApiClass(client, id)

__eq__(other)

Return self==value.

_get_attribute_as_dict(attribute)

class abacusai.drift_distributions.DriftDistributions(client, labelDrift={}, predictionDrift={}, bpPredictionDrift={})

Bases: abacusai.return_class.AbstractApiClass

For either actuals or predicted values, how it has changed in the training data versus some specified window

Parameters:

• client (ApiClient) – An authenticated API Client instance

• labelDrift (DriftDistribution) – A DriftDistribution describing column names and the range of values for label drift.

• predictionDrift (DriftDistribution) – A DriftDistribution describing column names and the range of values for prediction drift.

• bpPredictionDrift (DriftDistribution) – A DriftDistribution describing column names and the range of values for prediction drift, when the predictions come from BP.

__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