# fatf.transparency.models.feature_influence.merge_ice_arrays¶

fatf.transparency.models.feature_influence.merge_ice_arrays(ice_arrays_list: List[numpy.ndarray]) → numpy.ndarray[source]

Merges multiple Individual Conditional Expectation arrays.

This function allows you to merge Individual Conditional Expectation arrays into a single array as long as they were calculated for the same feature and for the same number of classes. This may be helpful when evaluating ICE for a model over multiple cross-validation folds or for multiple models.

Parameters
ice_arrays_listList[numpy.ndarray]

A list of Individual Conditional Expectation arrays to be merged.

Returns
ice_arraysnumpy.ndarray

All of the ICE arrays merged together alongside the first dimension (number of instances).

Raises
IncorrectShapeError

One of the ICE arrays is not 3-dimensional.

TypeError

The ice_arrays_list input parameter is not a list.

ValueError

The list of ICE arrays to be merged is empty. One of the ICE arrays is not a numerical array. One of the ICE arrays is structured. Some of the ICE arrays do not share the same second (number of steps) or third (number of classes) dimension or type.