7.00.02 - NeuralNetPredict Arguments - Aster Analytics

Teradata Aster® Analytics Foundation User GuideUpdate 2

Product
Aster Analytics
Release Number
7.00.02
Release Date
September 2017
Content Type
Programming Reference
User Guide
Publication ID
B700-1022-700K
Language
English (United States)
InputColumns
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
Specifies the number of hidden neurons in each layer, from left to right. The hidden_layers must be a nonnegative INTEGER. Default: 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. Default: 'true'.
NumOutputs
[Optional] Specifies the number of outputs from the neural net. The outputs must be a nonnegative INTEGER value. Default: 1. The maximum value is 1000.
Accumulate
[Optional] Specifies the names of the input table columns to copy to the output table.