train_data Class Reference

implementation of logistic regression for training OE and EC feature parameters using GSL More...

#include <train_logReg_param.hh>

Public Member Functions
	train_data (unordered_map< string, pair< int, vector< double > > > *samples, unordered_map< string, int > *ref_class, int numSp)
void	set_mean_std (vector< pair< int, vector< double > > > *samples, vector< int > feature_idx)

Public Attributes
vector< pair< int, vector< double > > > *	exon_samples
vector< pair< int, vector< double > > > *	intron_samples
int	num_features
double	prob_true_false_exons
double	prob_true_false_introns
vector< int >	exon_feature_idx
vector< int >	intron_feature_idx

Detailed Description

implementation of logistic regression for training OE and EC feature parameters using GSL

Author

Lizzy Gerischer

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

• include/train_logReg_param.hh
• src/train_logReg_param.cc