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RandomDistributedScalarEncoder Class Reference

A scalar encoder encodes a numeric (floating point) value into an array of bits. More...

Inheritance diagram for RandomDistributedScalarEncoder:

Public Member Functions

def __init__
 Constructor. More...
def getDecoderOutputFieldTypes
 See method description in
def getWidth
 See method description in
def getBucketIndices
 See method description in
def mapBucketIndexToNonZeroBits
 Given a bucket index, return the list of non-zero bits. More...
def encodeIntoArray
 See method description in
- Public Member Functions inherited from Encoder
def getWidth
 Should return the output width, in bits. More...
def encodeIntoArray
 Encodes inputData and puts the encoded value into the numpy output array, which is a 1-D array of length returned by getWidth(). More...
def setLearning
 Set whether learning is enabled. More...
def setFieldStats
 This method is called by the model to set the statistics like min and max for the underlying encoders if this information is available. More...
def encode
 Convenience wrapper for encodeIntoArray. More...
def getScalarNames
 Return the field names for each of the scalar values returned by getScalars. More...
def getDecoderOutputFieldTypes
 Returns a sequence of field types corresponding to the elements in the decoded output field array. More...
def setStateLock
 Setting this to true freezes the state of the encoder This is separate from the learning state which affects changing parameters. More...
def getEncoderList
def getScalars
 Returns a numpy array containing the sub-field scalar value(s) for each sub-field of the inputData. More...
def getEncodedValues
 Returns the input in the same format as is returned by topDownCompute(). More...
def getBucketIndices
 Returns an array containing the sub-field bucket indices for each sub-field of the inputData. More...
def scalarsToStr
 Return a pretty print string representing the return values from getScalars and getScalarNames(). More...
def getDescription
 This returns a list of tuples, each containing (name, offset). More...
def getFieldDescription
 Return the offset and length of a given field within the encoded output. More...
def encodedBitDescription
 Return a description of the given bit in the encoded output. More...
def pprintHeader
 Pretty-print a header that labels the sub-fields of the encoded output. More...
def pprint
 Pretty-print the encoded output using ascii art. More...
def decode
 Takes an encoded output and does its best to work backwards and generate the input that would have generated it. More...
def decodedToStr
 Return a pretty print string representing the return value from decode().
def getBucketValues
 Returns a list of items, one for each bucket defined by this encoder. More...
def getBucketInfo
 Returns a list of EncoderResult namedtuples describing the inputs for each sub-field that correspond to the bucket indices passed in 'buckets'. More...
def topDownCompute
 Returns a list of EncoderResult namedtuples describing the top-down best guess inputs for each sub-field given the encoded output. More...
def closenessScores
 Compute closeness scores between the expected scalar value(s) and actual scalar value(s). More...
def getDisplayWidth
 Calculate width of display for bits plus blanks between fields. More...
def formatBits
 Copy one array to another, inserting blanks between fields (for display) If leftpad is one, then there is a dummy value at element 0 of the arrays, and we should start our counting from 1 rather than 0. More...

Detailed Description

A scalar encoder encodes a numeric (floating point) value into an array of bits.

This class maps a scalar value into a random distributed representation that is suitable as scalar input into the spatial pooler. The encoding scheme is designed to replace a simple ScalarEncoder. It preserves the important properties around overlapping representations. Unlike ScalarEncoder the min and max range can be dynamically increased without any negative effects. The only required parameter is resolution, which determines the resolution of input values.

Scalar values are mapped to a bucket. The class maintains a random distributed encoding for each bucket. The following properties are maintained by RandomDistributedEncoder:

1) Similar scalars should have high overlap. Overlap should decrease smoothly as scalars become less similar. Specifically, neighboring bucket indices must overlap by a linearly decreasing number of bits.

2) Dissimilar scalars should have very low overlap so that the SP does not confuse representations. Specifically, buckets that are more than w indices apart should have at most maxOverlap bits of overlap. We arbitrarily (and safely) define "very low" to be 2 bits of overlap or lower.

Properties 1 and 2 lead to the following overlap rules for buckets i and j:

If abs(i-j) < w then:
  overlap(i,j) = w - abs(i-j)
  overlap(i,j) <= maxOverlap

3) The representation for a scalar must not change during the lifetime of the object. Specifically, as new buckets are created and the min/max range is extended, the representation for previously in-range sscalars and previously created buckets must not change.

Constructor & Destructor Documentation

def __init__ (   self,
  w = 21,
  n = 400,
  name = None,
  offset = None,
  seed = 42,
  verbosity = 0 


resolutionA floating point positive number denoting the resolution of the output representation. Numbers within [offset-resolution/2, offset+resolution/2] will fall into the same bucket and thus have an identical representation. Adjacent buckets will differ in one bit. resolution is a required parameter.
wNumber of bits to set in output. w must be odd to avoid centering problems. w must be large enough that spatial pooler columns will have a sufficiently large overlap to avoid false matches. A value of w=21 is typical.
nNumber of bits in the representation (must be > w). n must be large enough such that there is enough room to select new representations as the range grows. With w=21 a value of n=400 is typical. The class enforces n > 6*w.
nameAn optional string which will become part of the description.
offsetA floating point offset used to map scalar inputs to bucket indices. The middle bucket will correspond to numbers in the range [offset - resolution/2, offset + resolution/2). If set to None, the very first input that is encoded will be used to determine the offset.
seedThe seed used for numpy's random number generator. If set to -1 the generator will be initialized without a fixed seed.
verbosityAn integer controlling the level of debugging output. A value of 0 implies no output. verbosity=1 may lead to one-time printouts during construction, serialization or deserialization. verbosity=2 may lead to some output per encode operation. verbosity>2 may lead to significantly more output.

Member Function Documentation

def mapBucketIndexToNonZeroBits (   self,

Given a bucket index, return the list of non-zero bits.

If the bucket index does not exist, it is created. If the index falls outside our range we clip it.

The documentation for this class was generated from the following file: