stochastic_gradient_descent.hpp File Reference

#include <thrill/api/bernoulli_sample.hpp>
#include <thrill/api/dia.hpp>
#include <thrill/api/sum.hpp>
#include <thrill/common/logger.hpp>
#include <thrill/common/vector.hpp>
#include <cereal/types/vector.hpp>
#include <thrill/data/serialization_cereal.hpp>
#include <algorithm>
#include <utility>

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Classes
struct	DataPoint< Vector >
	Model for one point consisting of a d-dimensional position and a label. More...
struct	GradientResult< Vector >
class	LeastSquaresGradient< Vector >
class	StochasticGradientDescent< Vector >
struct	SumResult< Vector >

Namespaces
	examples
	examples::stochastic_gradient_descent

Macros
#define	THRILL_EXAMPLES_STOCHASTIC_GRADIENT_DESCENT_STOCHASTIC_GRADIENT_DESCENT_HEADER

Typedefs
template<size_t D>
using	Vector = thrill::common::Vector< D, double >
using	VVector = thrill::common::VVector< double >

Functions
template<typename Vector >
std::ostream &	operator<< (std::ostream &os, const DataPoint< Vector > &p)

Macro Definition Documentation

THRILL_EXAMPLES_STOCHASTIC_GRADIENT_DESCENT_STOCHASTIC_GRADIENT_DESCENT_HEADER

#define THRILL_EXAMPLES_STOCHASTIC_GRADIENT_DESCENT_STOCHASTIC_GRADIENT_DESCENT_HEADER

Definition at line 14 of file stochastic_gradient_descent.hpp.