Class Hierarchy

This inheritance list is sorted roughly, but not completely, alphabetically:

[detail level 1234]

Aggregator	This class provides context and methods for aggregating records
DataBuffer	A simple FIFO stack
Encoder	An encoder converts a value to a sparse distributed representation
CategoryEncoder	Encodes a list of discrete categories (described by strings), that aren't related to each other, so we never emit a mixture of categories
CoordinateEncoder	Given a coordinate in an N-dimensional space, and a radius around that coordinate, the Coordinate Encoder returns an SDR representation of that position
GeospatialCoordinateEncoder	Given a GPS coordinate and a speed reading, the Geospatial Coordinate Encoder returns an SDR representation of that position
DateEncoder	A date encoder encodes a date according to encoding parameters specified in its constructor
LogEncoder	This class wraps the ScalarEncoder class
MultiEncoder	A MultiEncoder encodes a dictionary or object with multiple components
PassThroughEncoder	Pass an encoded SDR straight to the model
SparsePassThroughEncoder	Convert a bitmap encoded as array indicies to an SDR
RandomDistributedScalarEncoder	A scalar encoder encodes a numeric (floating point) value into an array of bits
ScalarEncoder	A scalar encoder encodes a numeric (floating point) value into an array of bits
AdaptiveScalarEncoder	This is an implementation of the scalar encoder that adapts the min and max of the scalar encoder dynamically
DeltaEncoder	This is an implementation of a delta encoder
ScalarSpaceEncoder	An encoder that can be used to permute the encodings through different spaces These include absolute value,delta, log space, etc
SDRCategoryEncoder	Encodes a list of discrete categories (described by strings), that aren't related to each other
Model	This is the base class that all OPF Model implementations should subclass
ModelFactory	Static factory class that produces a Model based on a description dict
NetworkInfo	Data type used as return value type by CLAModel.__createCLANetwork()
Segment	Container for all of the segment variables and the synapses it owns
TP.SegmentUpdate	Class used to carry instructions for updating a segment
SpatialPooler	This class implements the spatial pooler
TemporalMemory	Class implementing the Temporal Memory algorithm
TP	Class implementing the temporal pooler algorithm as described in the published Cortical Learning Algorithm documentation
TP10X2	Class implementing the temporal pooler algorithm as described in the published Cortical Learning Algorithm documentation