| InputColumns |
Required |
Specifies the names of the columns of testdata that contain the numerical input predictor variables (x1, x2, x3, and so on). |
| GroupByColumns |
Optional |
Specifies the weight table columns to which to output different neural networks for different groups. |
| HiddenLayers |
Required |
Specifies the number of hidden neurons in each layer, from left to right. The default value is 1 layer, 1 neuron. |
| ActivationFunction |
Optional |
Specifies the name of the differentiable function that the function applies to the result of the cross-product of the neurons and the weights.:
-
'logistic': logistic (default)
-
'tanh': hyperbolic tangent
|
| LinearOutput |
Optional |
Specifies whether to apply the ActivationFunction to the output neurons. |
| NumOutputs |
Optional |
Specifies the number of outputs from the neural net. The default value is 1. The maximum value is 1000. |
| Accumulate |
Optional |
Specifies the names of the input table columns to copy to the output table. |