Shared utilities for implementing different interpretable models.

'''Shared utilities for implementing different interpretable models.
'''

Sub-modules

imodels.util.arguments

imodels.util.automl

imodels.util.checks

imodels.util.convert

imodels.util.data_util

imodels.util.distillation

imodels.util.ensemble

imodels.util.explain_errors

imodels.util.extract

imodels.util.metrics

imodels.util.neural_nets

Bridging random forests and deep neural networks. Code to convert a sklearn decision tree to a pytorch neural network following "Neural Random …

imodels.util.prune

imodels.util.rule

imodels.util.score

imodels.util.transforms

Shared transforms between different interpretable models

imodels.util.tree

imodels.util.tree_interaction_utils