aif360.algorithms

• aif360.algorithms.preprocessing
  • Disparate Impact Remover
  • Learning Fair Representations
  • Optimized Preprocessing
  • Reweighing

• aif360.algorithms.inprocessing
  • Adversarial Debiasing
  • ART Classifier
  • Meta Fair Classifier
  • Prejudice Remover

• aif360.algorithms.postprocessing
  • Calibrated Equality of Odds
  • Equality of Odds
  • Reject Option Classification

Base Class

class aif360.algorithms.Transformer(**kwargs)

Abstract base class for transformers.

Transformers are an abstraction for any process which acts on a Dataset and returns a new, modified Dataset. This definition encompasses pre-processing, in-processing, and post-processing algorithms.

Initialize a Transformer object.

Algorithm-specific configuration parameters should be passed here.

fit(dataset)

Train a model on the input.

Parameters:dataset (Dataset) – Input dataset. Returns:Returns self. Return type:Transformer

fit_predict(dataset)

Train a model on the input and predict the labels.

Equivalent to calling fit(dataset) followed by predict(dataset).

Parameters:dataset (Dataset) – Input dataset. Returns:Output dataset. metadata should reflect the details of this transformation. Return type:Dataset

fit_transform(dataset)

Train a model on the input and transform the dataset accordingly.

Equivalent to calling fit(dataset) followed by transform(dataset).

Parameters:dataset (Dataset) – Input dataset. Returns:Output dataset. metadata should reflect the details of this transformation. Return type:Dataset

predict(dataset)

Return a new dataset with labels predicted by running this Transformer on the input.

Parameters:dataset (Dataset) – Input dataset. Returns:Output dataset. metadata should reflect the details of this transformation. Return type:Dataset

transform(dataset)

Return a new dataset generated by running this Transformer on the input.

This function could return different dataset.features, dataset.labels, or both.

Parameters:dataset (Dataset) – Input dataset. Returns:Output dataset. metadata should reflect the details of this transformation. Return type:Dataset