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NuPIC
0.2.7.dev0
Numenta Platform for Intelligent Computing
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NuPIC
0.2.7.dev0
Numenta Platform for Intelligent Computing
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This class wraps the ScalarEncoder class. More...
Public Member Functions | |
| def | getDecoderOutputFieldTypes |
| Encoder class virtual method override. | |
| def | getBucketIndices |
| See the function description in base.py. | |
| def | encodeIntoArray |
| See the function description in base.py. | |
| def | decode |
| See the function description in base.py. | |
| def | getBucketValues |
| See the function description in base.py. | |
| def | getBucketInfo |
| See the function description in base.py. | |
| def | topDownCompute |
| See the function description in base.py. | |
| def | closenessScores |
| See the function description in base.py. | |
 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... | |
This class wraps the ScalarEncoder class.
A Log encoder represents a floating point value on a logarithmic scale.
valueToEncode = log10(input)
w – number of bits to set in output minval – minimum input value. must be greater than 0. Lower values are reset to this value maxval – maximum input value (input is strictly less if periodic == True) periodic – If true, then the input value "wraps around" such that minval = maxval For a periodic value, the input must be strictly less than maxval, otherwise maxval is a true upper bound.
Exactly one of n, radius, resolution must be set. "0" is a special value that means "not set".
n – number of bits in the representation (must be > w) radius – inputs separated by more than this distance in log space will have non-overlapping representations resolution – The minimum change in scaled value needed to produce a change in encoding. This should be specified in log space. For example, the scaled values 10 and 11 will be distinguishable in the output. In terms of the original input values, this means 10^1 (1) and 10^1.1 (1.25) will be distinguishable. name – an optional string which will become part of the description verbosity – level of debugging output you want the encoder to provide. clipInput – if true, non-periodic inputs smaller than minval or greater than maxval will be clipped to minval/maxval forced – (default False), if True, skip some safety checks
1.8.3.1
