Package PyDSTool :: Package Toolbox :: Module ActivationFuncs
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Module ActivationFuncs

source code

Functions [hide private]
 
Sigma(vo, theta, k) source code
 
Sigma2(vo, a, b) source code
 
SigmaNeg(vo, theta, k) source code
 
Beta(vo, theta, k, c) source code
 
SigmaV(vo, a, b, c, d, e) source code
 
Gamma(vo, a, b, c) source code
Variables [hide private]
  ALLOW_THREADS = 1
  Abs = Abs (ModelSpec wrapper)
  Acos = Acos (ModelSpec wrapper)
  Asin = Asin (ModelSpec wrapper)
  Atan = Atan (ModelSpec wrapper)
  Atan2 = Atan2 (ModelSpec wrapper)
  BUFSIZE = 10000
  Betavariate = Betavariate (ModelSpec wrapper)
  CLIP = 0
  Ceil = Ceil (ModelSpec wrapper)
  Choice = Choice (ModelSpec wrapper)
  Cos = Cos (ModelSpec wrapper)
  Cosh = Cosh (ModelSpec wrapper)
  Degrees = Degrees (ModelSpec wrapper)
  E = QuantSpec e (ExpFuncSpec)
  ERR_CALL = 3
  ERR_DEFAULT = 0
  ERR_DEFAULT2 = 2084
  ERR_IGNORE = 0
  ERR_LOG = 5
  ERR_PRINT = 4
  ERR_RAISE = 2
  ERR_WARN = 1
  Exp = Exp (ModelSpec wrapper)
  Expovariate = Expovariate (ModelSpec wrapper)
  FLOATING_POINT_SUPPORT = 1
  FPE_DIVIDEBYZERO = 1
  FPE_INVALID = 8
  FPE_OVERFLOW = 2
  FPE_UNDERFLOW = 4
  Fabs = Fabs (ModelSpec wrapper)
  False_ = False
  Floor = Floor (ModelSpec wrapper)
  Fmod = Fmod (ModelSpec wrapper)
  Frexp = Frexp (ModelSpec wrapper)
  Gammavariate = Gammavariate (ModelSpec wrapper)
  Gauss = Gauss (ModelSpec wrapper)
  Getrandbits = Getrandbits (ModelSpec wrapper)
  Getstate = Getstate (ModelSpec wrapper)
  Hypot = Hypot (ModelSpec wrapper)
  Infinity = inf
  Jumpahead = Jumpahead (ModelSpec wrapper)
  Ldexp = Ldexp (ModelSpec wrapper)
  Log = Log (ModelSpec wrapper)
  Log10 = Log10 (ModelSpec wrapper)
  Lognormvariate = Lognormvariate (ModelSpec wrapper)
  MAXDIMS = 32
  Max = Max (ModelSpec wrapper)
  Min = Min (ModelSpec wrapper)
  Modf = Modf (ModelSpec wrapper)
  NAN = nan
  NINF = -inf
  NZERO = -0.0
  Normalvariate = Normalvariate (ModelSpec wrapper)
  PINF = inf
  PZERO = 0.0
  Paretovariate = Paretovariate (ModelSpec wrapper)
  Pi = QuantSpec pi (ExpFuncSpec)
  Pow = Pow (ModelSpec wrapper)
  RAISE = 2
  Radians = Radians (ModelSpec wrapper)
  Randint = Randint (ModelSpec wrapper)
  Random = Random (ModelSpec wrapper)
  Randrange = Randrange (ModelSpec wrapper)
  SHIFT_DIVIDEBYZERO = 0
  SHIFT_INVALID = 9
  SHIFT_OVERFLOW = 3
  SHIFT_UNDERFLOW = 6
  Sample = Sample (ModelSpec wrapper)
  ScalarType = (<type 'int'>, <type 'float'>, <type 'complex'>, ...
  Seed = Seed (ModelSpec wrapper)
  Setstate = Setstate (ModelSpec wrapper)
  Shuffle = Shuffle (ModelSpec wrapper)
  Sin = Sin (ModelSpec wrapper)
  Sinh = Sinh (ModelSpec wrapper)
  Sqrt = Sqrt (ModelSpec wrapper)
  Sum = Sum (ModelSpec wrapper)
  Systemrandom = Systemrandom (ModelSpec wrapper)
  Tan = Tan (ModelSpec wrapper)
  Tanh = Tanh (ModelSpec wrapper)
  True_ = True
  UFUNC_BUFSIZE_DEFAULT = 10000
  UFUNC_PYVALS_NAME = 'UFUNC_PYVALS'
  Uniform = Uniform (ModelSpec wrapper)
  Vonmisesvariate = Vonmisesvariate (ModelSpec wrapper)
  WRAP = 1
  Weibullvariate = Weibullvariate (ModelSpec wrapper)
  Wichmannhill = Wichmannhill (ModelSpec wrapper)
  absolute = <ufunc 'absolute'>
  add = <ufunc 'add'>
  bitwise_and = <ufunc 'bitwise_and'>
  bitwise_not = <ufunc 'invert'>
  bitwise_or = <ufunc 'bitwise_or'>
  bitwise_xor = <ufunc 'bitwise_xor'>
  c_ = <numpy.lib.index_tricks.CClass object at 0x115c330>
  cast = {<type 'numpy.int64'>: <function <lambda> at 0x6d0c30>,...
  conj = <ufunc 'conjugate'>
  conjugate = <ufunc 'conjugate'>
  copysign = <ufunc 'copysign'>
  deg2rad = <ufunc 'deg2rad'>
  divide = <ufunc 'divide'>
  equal = <ufunc 'equal'>
  exp2 = <ufunc 'exp2'>
  expm1 = <ufunc 'expm1'>
  floor_divide = <ufunc 'floor_divide'>
  fmax = <ufunc 'fmax'>
  fmin = <ufunc 'fmin'>
  greater_equal = <ufunc 'greater_equal'>
  index_exp = <numpy.lib.index_tricks.IndexExpression object at ...
  inf = inf
  infty = inf
  invert = <ufunc 'invert'>
  isinf = <ufunc 'isinf'>
  left_shift = <ufunc 'left_shift'>
  little_endian = True
  log1p = <ufunc 'log1p'>
  logaddexp = <ufunc 'logaddexp'>
  logaddexp2 = <ufunc 'logaddexp2'>
  logical_and = <ufunc 'logical_and'>
  logical_not = <ufunc 'logical_not'>
  logical_xor = <ufunc 'logical_xor'>
  maximum = <ufunc 'maximum'>
  mgrid = <numpy.lib.index_tricks.nd_grid object at 0x1147490>
  minimum = <ufunc 'minimum'>
  multiply = <ufunc 'multiply'>
  n = 9
  nan = nan
  nbytes = {<type 'numpy.int64'>: 8, <type 'numpy.int16'>: 2, <t...
  negative = <ufunc 'negative'>
  newaxis = None
  nextafter = <ufunc 'nextafter'>
  not_equal = <ufunc 'not_equal'>
  ogrid = <numpy.lib.index_tricks.nd_grid object at 0x1147bb0>
  ones_like = <ufunc 'ones_like'>
  r_ = <numpy.lib.index_tricks.RClass object at 0x115c2f0>
  rad2deg = <ufunc 'rad2deg'>
  reciprocal = <ufunc 'reciprocal'>
  remainder = <ufunc 'remainder'>
  right_shift = <ufunc 'right_shift'>
  rint = <ufunc 'rint'>
  s_ = <numpy.lib.index_tricks.IndexExpression object at 0x115c3f0>
  sctypeDict = {0: <type 'numpy.bool_'>, 1: <type 'numpy.int8'>,...
  sctypeNA = {'?': 'Bool', 'B': 'UInt8', 'Bool': <type 'numpy.bo...
  sctypes = {'complex': [<type 'numpy.complex64'>, <type 'numpy....
  signbit = <ufunc 'signbit'>
  spacing = <ufunc 'spacing'>
  square = <ufunc 'square'>
  subtract = <ufunc 'subtract'>
  t = '0'
  true_divide = <ufunc 'true_divide'>
  trunc = <ufunc 'trunc'>
  typeDict = {0: <type 'numpy.bool_'>, 1: <type 'numpy.int8'>, 2...
  typeNA = {'?': 'Bool', 'B': 'UInt8', 'Bool': <type 'numpy.bool...
  typecodes = {'All': '?bhilqpBHILQPfdgFDGSUVOMm', 'AllFloat': '...
Variables Details [hide private]

ScalarType

Value:
(<type 'int'>,
 <type 'float'>,
 <type 'complex'>,
 <type 'long'>,
 <type 'bool'>,
 <type 'str'>,
 <type 'unicode'>,
 <type 'buffer'>,
...

cast

Value:
{<type 'numpy.int64'>: <function <lambda> at 0x6d0c30>, <type 'numpy.i\
nt16'>: <function <lambda> at 0x6d0c70>, <type 'numpy.complex128'>: <f\
unction <lambda> at 0x6d0cb0>, <type 'numpy.uint64'>: <function <lambd\
a> at 0x6d0cf0>, <type 'numpy.complex256'>: <function <lambda> at 0x6d\
0d70>, <type 'numpy.float32'>: <function <lambda> at 0x6d0db0>, <type \
'numpy.bool_'>: <function <lambda> at 0x6d0d30>, <type 'numpy.uint8'>:\
 <function <lambda> at 0x6d0e30>, <type 'numpy.int32'>: <function <lam\
bda> at 0x6d0f30>, <type 'numpy.int8'>: <function <lambda> at 0x6d0df0\
...

index_exp

Value:
<numpy.lib.index_tricks.IndexExpression object at 0x115c3b0>

nbytes

Value:
{<type 'numpy.int64'>: 8, <type 'numpy.int16'>: 2, <type 'numpy.comple\
x128'>: 16, <type 'numpy.uint64'>: 8, <type 'numpy.bool_'>: 1, <type '\
numpy.complex256'>: 32, <type 'numpy.float32'>: 4, <type 'numpy.int8'>\
: 1, <type 'numpy.uint8'>: 1, <type 'numpy.uint16'>: 2, <type 'numpy.o\
bject_'>: 4, <type 'numpy.float64'>: 8, <type 'numpy.int32'>: 4, <type\
 'numpy.string_'>: 0, <type 'numpy.void'>: 0, <type 'numpy.float128'>:\
 16, <type 'numpy.int32'>: 4, <type 'numpy.uint32'>: 4, <type 'numpy.u\
nicode_'>: 0, <type 'numpy.complex64'>: 8, <type 'numpy.uint32'>: 4}

sctypeDict

Value:
{0: <type 'numpy.bool_'>,
 1: <type 'numpy.int8'>,
 2: <type 'numpy.uint8'>,
 3: <type 'numpy.int16'>,
 4: <type 'numpy.uint16'>,
 5: <type 'numpy.int32'>,
 6: <type 'numpy.uint32'>,
 7: <type 'numpy.int32'>,
...

sctypeNA

Value:
{'?': 'Bool',
 'B': 'UInt8',
 'Bool': <type 'numpy.bool_'>,
 'Complex128': <type 'numpy.complex256'>,
 'Complex32': <type 'numpy.complex64'>,
 'Complex64': <type 'numpy.complex128'>,
 'D': 'Complex64',
 'F': 'Complex32',
...

sctypes

Value:
{'complex': [<type 'numpy.complex64'>,
             <type 'numpy.complex128'>,
             <type 'numpy.complex256'>],
 'float': [<type 'numpy.float32'>,
           <type 'numpy.float64'>,
           <type 'numpy.float128'>],
 'int': [<type 'numpy.int8'>,
         <type 'numpy.int16'>,
...

typeDict

Value:
{0: <type 'numpy.bool_'>,
 1: <type 'numpy.int8'>,
 2: <type 'numpy.uint8'>,
 3: <type 'numpy.int16'>,
 4: <type 'numpy.uint16'>,
 5: <type 'numpy.int32'>,
 6: <type 'numpy.uint32'>,
 7: <type 'numpy.int32'>,
...

typeNA

Value:
{'?': 'Bool',
 'B': 'UInt8',
 'Bool': <type 'numpy.bool_'>,
 'Complex128': <type 'numpy.complex256'>,
 'Complex32': <type 'numpy.complex64'>,
 'Complex64': <type 'numpy.complex128'>,
 'D': 'Complex64',
 'F': 'Complex32',
...

typecodes

Value:
{'All': '?bhilqpBHILQPfdgFDGSUVOMm',
 'AllFloat': 'fdgFDG',
 'AllInteger': 'bBhHiIlLqQpP',
 'Character': 'c',
 'Complex': 'FDG',
 'Datetime': 'Mm',
 'Float': 'fdg',
 'Integer': 'bhilqp',
...