src/nupic/data/generators/data_generator.py
def encodeRecord(self, record, toBeAdded=True):
    """Encode a record as a sparse distributed representation
    Parameters:
    --------------------------------------------------------------------
    record:        Record to be encoded
    toBeAdded:     Whether the encodings corresponding to the record are added to
                   the corresponding fields
    """
    encoding=[self.fields[i].encodeValue(record[i], toBeAdded) for i in \
              xrange(len(self.fields))]

    return encoding
def encodeRecord(self, record, toBeAdded=True):
    """Encode a record as a sparse distributed representation
    Parameters:
    --------------------------------------------------------------------
    record:        Record to be encoded
    toBeAdded:     Whether the encodings corresponding to the record are added to
                   the corresponding fields
    """
    encoding=[self.fields[i].encodeValue(record[i], toBeAdded) for i in \
              xrange(len(self.fields))]

    return encoding
def encodeRecord ( self , record , toBeAdded = True ) : encoding = [ self . fields [ i ] . encodeValue ( record [ i ] , toBeAdded ) for i in xrange ( len ( self . fields ) ) ] return encoding
Encode a record as a sparse distributed representation
    Parameters:
    --------------------------------------------------------------------
    record:        Record to be encoded
    toBeAdded:     Whether the encodings corresponding to the record are added to
                   the corresponding fields
Encode a record as a sparse distributed representation Parameters : -------------------------------------------------------------------- record : Record to be encoded toBeAdded : Whether the encodings corresponding to the record are added to the corresponding fields