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oneapi::mkl::rng::bernoulli
Generates Bernoulli distributed random values.
Description
The oneapi::mkl::rng::bernoulli class object is used in the oneapi::mkl::rng::generate function to provide Bernoulli distributed random numbers with probability p of a single trial success, where 
.
A variate is called Bernoulli distributed if after a trial it is equal to 1 with probability of success p and to 0 with probability 1 - p.
The probability distribution is given by:
P(X=1) = p
P(X=0) = 1 - p
The cumulative distribution function is as follows:
 
   Product and Performance Information  |  
       
|---|
Performance varies by use, configuration and other factors. Learn more at https://www.intel.com/PerformanceIndex. Notice revision #20201201  |  
       
API
Syntax
template<typename IntType = std::int32_t,
         typename Method = bernoulli_method::by_default>
class bernoulli {
public:
  using method_type = Method;
  using result_type = IntType;
  bernoulli(): bernoulli(0.5f){}
  explicit bernoulli(float p);
  explicit bernoulli(const param_type& pt);
  float p() const;
  param_type param() const;
  void param(const param_type& pt);
}; 
   Devices supported: CPU and GPU.
Include Files
oneapi/mkl/rng.hpp
Template Parameters
typename_IntType = std::int32_t  |  
        Type of the produced values. The specific values are as follows: std::int32_t std::uint32_t  |  
       
typename Method = oneapi::mkl::rng::bernoulli_method::by_default  |  
        Generation method. The specific values are as follows: oneapi::mkl::rng::bernoulli_method::icdf See brief descriptions of the methods in Distributions Template Parameter Method.  |  
       
Input Parameters
Name  |  
        Type  |  
        Description  |  
       
|---|---|---|
p  |  
        float  |  
        Success probability p of a trial.  |