Fn_custom_decoding

Functions
double	ecocpak::custom_metric (rowvec test_code, rowvec class_code)
u32	ecocpak::custom_decoding (const vector< Classifier * > &classifiers_vector, const vector< ClassData > &classes_vector, const imat &coding_matrix, const mat &test_samples, const ucolvec &test_set_labels, uvec &predictions, umat &confussion)
u32	custom_decoding (const vector< Classifier * > &classifiers_vector, const vector< ClassData > &classes_vector, const imat &coding_matrix, const mat &test_samples, const ucolvec &test_set_labels, uvec &predictions, umat &confussion)

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Function Documentation

u32 ecocpak::custom_decoding	(	const vector< Classifier * > &	classifiers_vector,
		const vector< ClassData > &	classes_vector,
		const imat &	coding_matrix,
		const mat &	test_samples,
		const ucolvec &	test_set_labels,
		uvec &	predictions,
		umat &	confussion
	)

• User custom decoding strategy -- main procedure.

• Input Arguments:
  • classifiers_vector : Vector of classifiers.
  • classes_vector : Vector of classes.
  • coding_matrix : Coding matrix.
  • test_set_samples : 2D matrix of test samples
  • test_set_labels : Labels vector of test samples.

• Outputs Arguments:
  • Void.

• Return Argument:
  • Integral value which denotes the number of misclassified test samples.

u32 custom_decoding	(	const vector< Classifier * > &	classifiers_vector,
		const vector< ClassData > &	classes_vector,
		const imat &	coding_matrix,
		const mat &	test_samples,
		const ucolvec &	test_set_labels,
		uvec &	predictions,
		umat &	confussion
	)

• User custom decoding strategy -- main procedure.

• Input Arguments:
  • classifiers_vector : Vector of classifiers.
  • classes_vector : Vector of classes.
  • coding_matrix : Coding matrix.
  • test_set_samples : 2D matrix of test samples
  • test_set_labels : Labels vector of test samples.

• Outputs Arguments:
  • Void.

• Return Argument:
  • Integral value which denotes the number of misclassified test samples.

double ecocpak::custom_metric	(	rowvec	test_code,
		rowvec	class_code
	)

• User custom decoding measure.

• Input Arguments:
  • test_code : Codeword of test sample.
  • class_code : Codeword of class sample.

• Output Arguments:
  • Void.

• Return Argument:
  • Distance between input codewords, according to user decoding metric -- measure.