print.cc File Reference

#include "gd.h"
#include <cfloat>
#include "reductions.h"

Go to the source code of this file.

Classes
struct	print

Functions
void	print_feature (vw &, float value, uint64_t index)
void	learn (print &p, LEARNER::base_learner &, example &ec)
LEARNER::base_learner *	print_setup (options_i &options, vw &all)

Function Documentation

learn()

void learn	(	print &	p,
		LEARNER::base_learner &	,
		example &	ec
	)

Definition at line 22 of file print.cc.

References print::all, v_array< T >::begin(), v_array< T >::empty(), label_data::initial, example::l, label_data::label, polylabel::simple, v_array< T >::size(), example::tag, and example::weight.

Referenced by print_setup().

{
  label_data& ld = ec.l.simple;
  if (ld.label != FLT_MAX)
  {
    cout << ld.label << " ";
    if (ec.weight != 1 || ld.initial != 0)
    {
      cout << ec.weight << " ";
      if (ld.initial != 0)
        cout << ld.initial << " ";
    }
  }
  if (!ec.tag.empty())
  {
    cout << '\'';
    cout.write(ec.tag.begin(), ec.tag.size());
  }
  cout << "| ";
  GD::foreach_feature<vw, uint64_t, print_feature>(*(p.all), ec, *p.all);
  cout << std::endl;
}

print_feature()

void print_feature	(	vw &	,
		float	value,
		uint64_t	index
	)

Definition at line 14 of file print.cc.

{
  cout << index;
  if (value != 1.)
    cout << ":" << value;
  cout << " ";
}

print_setup()

LEARNER::base_learner* print_setup	(	options_i &	options,
		vw &	all
	)

Definition at line 45 of file print.cc.

References VW::config::option_group_definition::add(), VW::config::options_i::add_and_parse(), LEARNER::init_learner(), learn(), LEARNER::make_base(), VW::config::make_option(), parameters::stride_shift(), and vw::weights.

Referenced by parse_reductions().

{
  bool print_option = false;
  option_group_definition new_options("Print psuedolearner");
  new_options.add(make_option("print", print_option).keep().help("print examples"));
  options.add_and_parse(new_options);

  if (!print_option)
    return nullptr;

  auto p = scoped_calloc_or_throw<print>();
  p->all = &all;

  all.weights.stride_shift(0);

  LEARNER::learner<print, example>& ret = init_learner(p, learn, learn, 1);
  return make_base(ret);
}