Compute and accumulate multi-class classification accuracy. The accuracy is averaged over mini-batches. If the spatial dimension is not singleton, i.e. there are multiple labels for each data instance, then the accuracy is also averaged among the spatial dimension.
.. attribute:: bottoms The blob names for prediction and labels (in that order).
.. attribute:: dim Default ``-2`` (penultimate). Specifies the dimension to operate on.
Compute and accumulate binary classification accuracy. The accuracy is averaged over mini-batches. Labels can be either {0, 1} labels or {-1, +1} labels
.. attribute:: bottoms The blob names for prediction and labels (in that order).