Gradient Descent

Functions
template<typename Vector = DenseVector>
solver_return	turi::optimization::gradient_descent (first_order_opt_interface &model, const DenseVector &init_point, std::map< std::string, flexible_type > &opts, const std::shared_ptr< regularizer_interface > reg=NULL)

Detailed Description

Function Documentation

gradient_descent()

template<typename Vector = DenseVector>

solver_return turi::optimization::gradient_descent ( first_order_opt_interface &  model, const DenseVector &  init_point, std::map< std::string, flexible_type > &  opts, const std::shared_ptr< regularizer_interface >  reg = NULL  )

inline

Solve a first_order_optimization_iterface model with a gradient descent method.

Parameters

[in,out]	model	Model with first order optimization interface.
[in]	init_point	Starting point for the solver.
[in,out]	opts	Solver options.

Returns

stats Solver return stats.

Parameters

[in]

reg

Shared ptr to an interface to a regularizer.

Template Parameters

Vector

Sparse or dense gradient representation.

Definition at line 49 of file gradient_descent-inl.hpp.