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New featureLinearityMeasure class and linearity_measure function for measuring the linearity of a classifier/regressor
New featureCounterFactualProto now supports categorical variables for tabular data
Changed
Breaking change Remove need for the user to manage TensorFlow sessions for the explanation methods that use TF internally (CEM, CounterFactual, CounterFactualProto). The session is now inferred or created depending on what is passed to predict. For finer control the sess parameter can still be passed in directly
Breaking change Expose low-level arguments to AnchorText to the user for finer control of the explanation algorithm, also rename some arguments for consistency
Various improvements to existing notebook examples
Fixed
CounterFactualProto and CEM bug when the class is initialized a second time it wouldn't run as the TF graph would become disconnected
Provide more useful error messages if external data APIs are down
Skip tests using external data APIs if they are down