Ejemplo n.º 1
0
/*
 * Scale input and output data based on previously calculated parameters.
 */
FANN_EXTERNAL void FANN_API fann_scale_train( struct fann *ann, struct fann_train_data *data )
{
	unsigned cur_sample;
	if(ann->scale_mean_in == NULL)
	{
		fann_error( (struct fann_error *) ann, FANN_E_SCALE_NOT_PRESENT );
		return;
	}
	/* Check that we have good training data. */
	if(fann_check_input_output_sizes(ann, data) == -1)
		return;

	for( cur_sample = 0; cur_sample < data->num_data; cur_sample++ )
	{
		fann_scale_input( ann, data->input[ cur_sample ] );
		fann_scale_output( ann, data->output[ cur_sample ] );
	}
}
Ejemplo n.º 2
0
/*
 * Scale input and output data based on previously calculated parameters.
 */
FANN_EXTERNAL void FANN_API fann_scale_train( struct fann *ann, struct fann_train_data *data )
{
    unsigned cur_sample;
    if(ann->scale_mean_in == NULL)
    {
        fann_error( (struct fann_error *) ann, FANN_E_SCALE_NOT_PRESENT );
        return;
    }
    /* Check that we have good training data. */
    /* No need for if( !params || !ann ) */
    if(    data->num_input != ann->num_input
            || data->num_output != ann->num_output
      )
    {
        fann_error( (struct fann_error *) ann, FANN_E_TRAIN_DATA_MISMATCH );
        return;
    }

    for( cur_sample = 0; cur_sample < data->num_data; cur_sample++ )
    {
        fann_scale_input( ann, data->input[ cur_sample ] );
        fann_scale_output( ann, data->output[ cur_sample ] );
    }
}