Feat C++ API
A feature engineering automation tool
n_exponent.cc
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1 /* FEAT
2 copyright 2017 William La Cava
3 license: GNU/GPL v3
4 */
5 #include "n_exponent.h"
6 
7 namespace FT{
8 
9  namespace Pop{
10  namespace Op{
11  NodeExponent::NodeExponent(vector<float> W0)
12  {
13  name = "^";
14  otype = 'f';
15  arity['f'] = 2;
16  arity['b'] = 0;
17  complexity = 4;
18 
19  if (W0.empty())
20  {
21  for (int i = 0; i < arity['f']; i++) {
22  W.push_back(r.rnd_dbl());
23  }
24  }
25  else
26  W = W0;
27  }
28 
29  #ifndef USE_CUDA
31  void NodeExponent::evaluate(const Data& data, State& state)
32  {
33  ArrayXf x1 = state.pop<float>();
34  ArrayXf x2 = state.pop<float>();
35 
36  state.push<float>(limited(pow(this->W[0] * x1,
37  this->W[1] * x2)));
38  }
39  #else
40  void NodeExponent::evaluate(const Data& data, State& state)
41  {
42  GPU_Exponent(state.dev_f, state.idx[otype], state.N, W[0], W[1]);
43  }
44  #endif
45 
48  {
49  state.push<float>("(" + to_string(W[0], 4) + "*" + state.popStr<float>() + ")^("
50  + to_string(W[1], 4) + "*" + state.popStr<float>() + ")");
51  }
52 
53  ArrayXf NodeExponent::getDerivative(Trace& state, int loc)
54  {
55  ArrayXf& x1 = state.get<float>()[state.size<float>()-1];
56  ArrayXf& x2 = state.get<float>()[state.size<float>()-2];
57 
58  switch (loc) {
59  case 3: // Weight for the power
60  return limited(pow(this->W[0] * x1,
61  this->W[1] * x2) * limited(log(this->W[0] * x1)) * x2);
62  case 2: // Weight for the base
63  return limited(this->W[1] * x2 * pow(this->W[0] * x1,
64  this->W[1] * x2) / this->W[0]);
65  case 1: // Power
66  return limited(this->W[1]*pow(this->W[0] * x1,
67  this->W[1] * x2) * limited(log(this->W[0] * x1)));
68  case 0: // Base
69  default:
70  return limited(this->W[1] * x2 * pow(this->W[0] * x1, this->W[1] * x2) / x1);
71  }
72  }
73 
74  NodeExponent* NodeExponent::clone_impl() const { return new NodeExponent(*this); }
75 
77  }
78  }
79 }
data holding X, y, and Z data
Definition: data.h:42
std::vector< float > W
Definition: n_Dx.h:16
NodeExponent(vector< float > W0=vector< float >())
Definition: n_exponent.cc:11
void eval_eqn(State &state)
Evaluates the node symbolically.
Definition: n_exponent.cc:47
NodeExponent * rnd_clone_impl() const override
Definition: n_exponent.cc:76
ArrayXf getDerivative(Trace &state, int loc)
Definition: n_exponent.cc:53
void evaluate(const Data &data, State &state)
Evaluates the node and updates the state states.
Definition: n_exponent.cc:31
NodeExponent * clone_impl() const override
Definition: n_exponent.cc:74
string name
node type
Definition: node.h:56
std::map< char, unsigned int > arity
arity of the operator
Definition: node.h:59
ArrayXf limited(ArrayXf x)
limits node output to be between MIN_FLT and MAX_FLT
Definition: node.cc:37
char otype
output type
Definition: node.h:58
int complexity
complexity of node
Definition: node.h:60
float rnd_dbl(float min=0.0, float max=1.0)
Definition: rnd.cc:89
void GPU_Exponent(float *x, size_t idx, size_t N, float W0, float W1)
static Rnd & r
Definition: rnd.h:135
std::string to_string(const T &value)
template function to convert objects to string for logging
Definition: utils.h:422
main Feat namespace
Definition: data.cc:13
int i
Definition: params.cc:552
contains various types of State actually used by feat
Definition: state.h:102
string popStr()
Definition: state.h:143
Eigen::Array< T, Eigen::Dynamic, 1 > pop()
Definition: state.h:128
void push(Eigen::Array< T, Eigen::Dynamic, 1 > value)
Definition: state.h:123
used for tracing stack outputs for backprop algorithm.
Definition: state.h:232
unsigned int size()
Definition: state.h:242
vector< Eigen::Array< T, Eigen::Dynamic, 1 > > & get()
Definition: state.h:237