hard_sigmoid_function.hpp
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1 
12 #ifndef MLPACK_METHODS_ANN_ACTIVATION_FUNCTIONS_HARD_SIGMOID_FUNCTION_HPP
13 #define MLPACK_METHODS_ANN_ACTIVATION_FUNCTIONS_HARD_SIGMOID_FUNCTION_HPP
14 
15 #include <mlpack/prereqs.hpp>
16 #include <algorithm>
17 
18 namespace mlpack {
19 namespace ann {
20 
35 {
36  public:
43  static double Fn(const double x)
44  {
45  return std::min(1.0, std::max(0.0, 0.2 * x + 0.5));
46  }
47 
54  template<typename InputVecType, typename OutputVecType>
55  static void Fn(const InputVecType& x, OutputVecType& y)
56  {
57  y.set_size(size(x));
58 
59  for (size_t i = 0; i < x.n_elem; i++)
60  y(i) = Fn(x(i));
61  }
62 
69  static double Deriv(const double y)
70  {
71  if (y == 0.0 || y == 1.0)
72  {
73  return 0.0;
74  }
75  return 0.2;
76  }
77 
84  template<typename InputVecType, typename OutputVecType>
85  static void Deriv(const InputVecType& y, OutputVecType& x)
86  {
87  x.set_size(size(y));
88 
89  for (size_t i = 0; i < y.n_elem; i++)
90  {
91  x(i) = Deriv(y(i));
92  }
93  }
94 }; // class HardSigmoidFunction
95 
96 } // namespace ann
97 } // namespace mlpack
98 
99 #endif
.hpp
Definition: add_to_po.hpp:21
The core includes that mlpack expects; standard C++ includes and Armadillo.
static void Deriv(const InputVecType &y, OutputVecType &x)
Computes the first derivatives of the hard sigmoid function.
static void Fn(const InputVecType &x, OutputVecType &y)
Computes the hard sigmoid function.
static double Fn(const double x)
Computes the hard sigmoid function.
The hard sigmoid function, defined by.
static double Deriv(const double y)
Computes the first derivatives of hard sigmoid function.