Module imodels.util
Shared utilities for implementing different interpretable models.
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'''Shared utilities for implementing different interpretable models.
'''Sub-modules
imodels.util.convertimodels.util.evaluateimodels.util.explain_errorsimodels.util.extractimodels.util.metricsimodels.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.pruneimodels.util.ruleimodels.util.scoreimodels.util.transforms-
Shared transforms between different interpretable models