Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.
In this commit, we start using self.predictedField as a condition to get encoder outputs instead of self.predictedFieldIdx. The CoordinateEncoder's predictedFieldIdx is always -1, so it worked before the change. But the CoordinateEncoders' predictedField is not None, it is vector, so the compute function tries to get bucket values from the encoder that do not exist.
We need to add a special condition to the compute function to check also for self.predictedField == "vector".
I found this issue when trying to get https://github.com/numenta/nupic.geospatial running with NuPIC 1.0.
Looks like this is the origin of the bug:
https://github.com/numenta/nupic/commit/34dd874896b22da217c5bede494f910faf6efb99#diff-d62e7e036bc450e0076245d0839b7ef4R381
In this commit, we start using
self.predictedFieldas a condition to get encoder outputs instead ofself.predictedFieldIdx. The CoordinateEncoder'spredictedFieldIdxis always-1, so it worked before the change. But the CoordinateEncoders'predictedFieldis notNone, it isvector, so the compute function tries to get bucket values from the encoder that do not exist.We need to add a special condition to the compute function to check also for
self.predictedField == "vector".