abacusai.drift_distribution

Classes

DriftDistribution

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

Module Contents

class abacusai.drift_distribution.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.

train_column = None

predicted_column = None

metrics = None

distribution

deprecated_keys

__repr__()

to_dict()

Get a dict representation of the parameters in this class

Returns:

The dict value representation of the class parameters

Return type:

dict