* Fixed equality test for Connections class
* Removing learning radius parameter from nupic
* Add Cap'n Proto serialization to Python Connections
* Remove FDRCSpatial2.py
* Replace the use of FDRCSpatial2 to SpatialPooler
* SP profile implemented from tp_large
* TM profile: can use args from command-line, random data used
* Adds AnomalyRegion for computing the raw anomaly score. Updates the network api example to use the new anomaly region. Updates PyRegion to have better error messages.
* Remove FlatSpatialPooler
* Add delete segment/synapse functionality to Connections data structure
* Adding dependency listing with licenses.
* Bump pycapnp to latest (0.5.5) for security update
* Remove redundant encoderMap operations
* Remove redundant index, and EncoderDetails in favor of using the outer union directly
* Use union in capnp schema per feedback
* MultiEncoder capnp implementation, including a switch to relative imports as a workaround for an issue described in https://github.com/jparyani/pycapnp/issues/59
* SparsePassThroughEncoder capnp implementation
* PassThroughEncoder capnp implementation
* LogEncoder capnproto implementation
* GeospatialCoordinateEncoder capnp implementation
* DeltaEncoder capnp implementation
* CoordinateEncoder capnp implementation
* AdaptiveScalarEncoder capnp implementation
* SDRCategoryEncoder capnproto implementation
* CategoryEncoder capnproto serialization, fixes 1964
* Change anomaly score to always be zero when there are no active columns.
* Date encoder capnproto implementation
* RDSE capnproto implementation w/ bugfix in encoder base
* Remove redundant radius and resolution in favor of relying on them to be recalculated based on n.
* Remove explicit int casts and update tests to allow ints or longs.
* Integrate capnproto serialization into ScalarEncoder re: 1715
* Allowing relative paths for input files in swarm desc.
* accepts anomaly records as both lists and tuples