Template class for creating training/validation split according to a specific strategy. More...

Public Member Functions
	cv_strategy (int min_dim_ts, int max_dim_ts)
	Constructor taking minimum and maximum dimension of the training set.

cv_strategy_t	strategy () const
	Getter for the splitting training/validation.

void	train_validation_set_strategy (int min_dim_ts, int max_dim_ts)
	Creating the training/validation split. Tag-dispacther.

train_valid_set_t	train_validation_set (const KO_Traits::StoringMatrix &data, const iter_cv_t &strat) const
	For a fixed given split training/validation according to augmenting window strategy, returns the two sets. Tag-dispacther.

Detailed Description

template<CV_STRAT cv_strat>
class cv_strategy< cv_strat >

Template class for creating training/validation split according to a specific strategy.

Template Parameters

cv_strat is the splitting training/validation strategy

Constructor & Destructor Documentation

template<CV_STRAT cv_strat>

cv_strategy< cv_strat >::cv_strategy	(	int	min_dim_ts,
		int	max_dim_ts )

inline

Constructor taking minimum and maximum dimension of the training set.

Parameters

min_dim_ts	minimum dimension of the training set
max_dim_ts	maximum dimension of the training set

template<CV_STRAT cv_strat>

cv_strategy_t cv_strategy< cv_strat >::strategy ( ) const

inline

Getter for the splitting training/validation.

template<CV_STRAT cv_strat>

train_valid_set_t cv_strategy< cv_strat >::train_validation_set	(	const KO_Traits::StoringMatrix &	data,
		const iter_cv_t &	strat ) const

inline

For a fixed given split training/validation according to augmenting window strategy, returns the two sets. Tag-dispacther.

Parameters

data	matrix containing the fts
strat	a given split training/validation

template<CV_STRAT cv_strat>

void cv_strategy< cv_strat >::train_validation_set_strategy	(	int	min_dim_ts,
		int	max_dim_ts )

inline

Creating the training/validation split. Tag-dispacther.

Parameters

min_dim_ts	minimum dimension of the training set
max_dim_ts	maximum dimension of the training set

the method is called in the constructor, and update the private member 'm_strategy'

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