Publication date: 08/13/2020

Neural

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.

The following message for Neural objects is available only in JSL:

neural_object << Get NBoost
// return the number of models used for boosting

The following JSL messages for Neural Fit objects return the requested item from the fitted model, such as entropy RSquare, generalized RSquare, misclassification rates, and so on:

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)
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