neural_object << Get NBoost

// return the number of models used for boosting

neural_object << ( Fit[n] << Get RSquare Training )

neural_object << ( Fit[n] << Get RSquare Validation )

neural_object << ( Fit[n] << Get RSquare Test )

neural_object << ( Fit[n] << Get Gen RSquare Training )

neural_object << ( Fit[n] << Get Gen RSquare Validation )

neural_object << ( Fit[n] << Get Gen RSquare Test )

neural_object << ( Fit[n] << Get Misclassification Rate Training )

neural_object << ( Fit[n] << Get Misclassification Rate Validation )

neural_object << ( Fit[n] << Get Misclassification Rate Test )

neural_object << ( Fit[n] << Get Average Log Error Training )

neural_object << ( Fit[n] << Get Average Log Error Validation )

neural_object << ( Fit[n] << Get Average Log Error Test )

neural_object << ( Fit[n] << Get RMS Error Training )

neural_object << ( Fit[n] << Get RMS Error Validation )

neural_object << ( Fit[n] << Get RMS Error Test )

neural_object << ( Fit[n] << Get Average Absolute Error Training )

neural_object << ( Fit[n] << Get Average Absolute Error Validation )

neural_object << ( Fit[n] << Get Average Absolute Error Test )

neural_object << ( Fit[n] << Get ROC Area Training )

neural_object << ( Fit[n] << Get ROC Area Validation)

neural_object << ( Fit[n] << Get ROC Area Test)

neural_object << ( Fit[n] << Get Confusion Matrix Training)

neural_object << ( Fit[n] << Get Confusion Matrix Validation)

neural_object << ( Fit[n] << Get Confusion Matrix Test)

neural_object << ( Fit[n] << Get Confusion Rates Training)

neural_object << ( Fit[n] << Get Confusion Rates Validation)

neural_object << ( Fit[n] << Get Confusion Rates Test)

neural_object << ( Fit[n] << Get Seconds)