mcts::AvgBackpropagationStrategy Class Reference

adds the backpropagated value to a running stats object that calculates the ev, mean and variance. More...

#include <avg_backpropagation_strategy.hpp>

Inheritance diagram for mcts::AvgBackpropagationStrategy:

Public Member Functions
virtual void	on_backpropagate (const double &value)
	saves an value according to some metric. More...
virtual double	ev () const
	gets the current expected value More...
virtual double	std_deviation () const
	gets the current standard deviation More...
virtual double	variance () const
	gets the current variance More...
virtual int	nb_samples () const
	gets the number of samples that are saved in the strat. More...
virtual IBackpropagationStrategy *	create ()
	creates a new object of the same type and with the same constructor as the current object. More...

Detailed Description

adds the backpropagated value to a running stats object that calculates the ev, mean and variance.

Definition at line 13 of file avg_backpropagation_strategy.hpp.

Member Function Documentation

create()

virtual IBackpropagationStrategy* mcts::AvgBackpropagationStrategy::create ( )

inlinevirtual

creates a new object of the same type and with the same constructor as the current object.

Returns

pointer to a new backprop strat.

Implements mcts::IBackpropagationStrategy.

Definition at line 27 of file avg_backpropagation_strategy.hpp.

                                             {
    return new AvgBackpropagationStrategy();
  }

ev()

virtual double mcts::AvgBackpropagationStrategy::ev ( ) const

inlinevirtual

gets the current expected value

Returns

current ev

Implements mcts::IBackpropagationStrategy.

Definition at line 19 of file avg_backpropagation_strategy.hpp.

{ return stats.mean(); }

nb_samples()

virtual int mcts::AvgBackpropagationStrategy::nb_samples ( ) const

inlinevirtual

gets the number of samples that are saved in the strat.

Returns

count of backpropagated values

Implements mcts::IBackpropagationStrategy.

Definition at line 25 of file avg_backpropagation_strategy.hpp.

{ return stats.num_data_values(); }

on_backpropagate()

virtual void mcts::AvgBackpropagationStrategy::on_backpropagate ( const double &  value )

inlinevirtual

saves an value according to some metric.

Parameters

value

to store

Implements mcts::IBackpropagationStrategy.

Definition at line 17 of file avg_backpropagation_strategy.hpp.

{ stats.push(value); }

std_deviation()

virtual double mcts::AvgBackpropagationStrategy::std_deviation ( ) const

inlinevirtual

gets the current standard deviation

Returns

current std dev

Implements mcts::IBackpropagationStrategy.

Definition at line 21 of file avg_backpropagation_strategy.hpp.

{ return stats.standard_deviation(); }

variance()

virtual double mcts::AvgBackpropagationStrategy::variance ( ) const

inlinevirtual

gets the current variance

Returns

current var

Implements mcts::IBackpropagationStrategy.

Definition at line 23 of file avg_backpropagation_strategy.hpp.

{ return stats.variance(); }

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The documentation for this class was generated from the following file:

• include/mcts/avg_backpropagation_strategy.hpp