Note: The Neural platform replaces the Neural Net platform. Scripts that use Neural Net are deprecated and might not work in the future. It is recommended to use the Neural platform for new scripts and update any old scripts using Neural Net to Neural.
When you launch the Neural platform via JSL, you can use the following arguments that are available only in JSL:
Multithreading( 0|1 )
N Boost( number )
Validation Method( ... )
The following messages for a Neural Fit object are available only in JSL:
neural_object << Fit( ... );
neural_object << ( Fit[n] << Get Average Absolute 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 Log Error Test );
neural_object << ( Fit[n] << Get Average Log Error Training );
neural_object << ( Fit[n] << Get Average Log Error Validation );
neural_object << ( Fit[n] << Get Confusion Matrix Test);
neural_object << ( Fit[n] << Get Confusion Matrix Training);
neural_object << ( Fit[n] << Get Confusion Matrix Validation);
neural_object << ( Fit[n] << Get Confusion Rates Test);
neural_object << ( Fit[n] << Get Confusion Rates Training);
neural_object << ( Fit[n] << Get Confusion Rates Validation);
neural_object << ( Fit[n] << Get Gen RSquare Test );
neural_object << ( Fit[n] << Get Gen RSquare Training );
neural_object << ( Fit[n] << Get Gen RSquare Validation );
neural_object << ( Fit[n] << Get Measures );
neural_object << ( Fit[n] << Get Misclassification Rate Test );
neural_object << ( Fit[n] << Get Misclassification Rate Training );
neural_object << ( Fit[n] << Get Misclassification Rate Validation );
neural_object << ( Fit[n] << Get MM SAS DATA Step );
neural_object << ( Fit[n] << Get NBoost );
neural_object << ( Fit[n] << Get Prediction Formula );
neural_object << ( Fit[n] << Get RMS Error Test );
neural_object << ( Fit[n] << Get RMS Error Training );
neural_object << ( Fit[n] << Get RMS Error Validation );
neural_object << ( Fit[n] << Get ROC Area Test);
neural_object << ( Fit[n] << Get ROC Area Training );
neural_object << ( Fit[n] << Get ROC Area Validation);
neural_object << ( Fit[n] << Get RSquare Test );
neural_object << ( Fit[n] << Get RSquare Training );
neural_object << ( Fit[n] << Get RSquare Validation );
neural_object << ( Fit[n] << Get SAS DATA Step );
neural_object << ( Fit[n] << Get Seconds);