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ConstLearningRate.h
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31 
32 #ifndef CONSTLEARNINGRATE_H
33 #define CONSTLEARNINGRATE_H
35 #include <shogun/lib/config.h>
36 
37 namespace shogun
38 {
46 {
47 public:
50 
52  virtual ~ConstLearningRate() {}
53 
58  virtual void set_const_learning_rate(float64_t learning_rate)
59  {
60  REQUIRE(learning_rate>0.0, "learning_rate (%f) must be positive",learning_rate);
61  m_const_learning_rate=learning_rate;
62  }
63 
72  virtual float64_t get_learning_rate(int32_t iter_counter)
73  {
74  REQUIRE(m_const_learning_rate>0.0,"learning_rate must set\n");
75  return m_const_learning_rate;
76  }
77 
82  virtual void update_context(CMinimizerContext* context)
83  {
84  REQUIRE(context, "Context must set\n");
85  }
86 
92  virtual void load_from_context(CMinimizerContext* context)
93  {
94  REQUIRE(context, "Context must set\n");
95  }
96 
97 protected:
98 
101 
102 private:
104  void init()
105  {
106  m_const_learning_rate=0.0;
107  }
108 };
109 
110 }
111 
112 #endif
virtual void load_from_context(CMinimizerContext *context)
The base class about learning rate for descent-based minimizers.
Definition: LearningRate.h:46
The class is used to serialize and deserialize variables for the optimization framework.
#define REQUIRE(x,...)
Definition: SGIO.h:206
virtual void update_context(CMinimizerContext *context)
This implements the const learning rate class for a descent-based minimizer.
double float64_t
Definition: common.h:50
virtual float64_t get_learning_rate(int32_t iter_counter)
all of classes and functions are contained in the shogun namespace
Definition: class_list.h:18
virtual void set_const_learning_rate(float64_t learning_rate)

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