big.compute: "big.matrix" compatible computation of a given neural network...
In cdeterman/HGTools: HG Tools

Description Usage Arguments Details Value

compute, a method for objects of class nn, typically produced by neuralnet. Computes the outputs of all neurons for specific arbitrary covariate vectors given a trained neural network. Please make sure that the order of the covariates is the same in the new matrix or dataframe as in the original neural network.

1	big.compute(x, covariate, rep = 1, model_type = NULL)

`x`	an object of class nn.
`covariate`	a dataframe or matrix containing the variables that had been used to train the neural network.
`rep`	an integer indicating the neural network's repetition which should be used.
`model_type`	State specific model type that was fit (e.g. payor)

This is a replication of the compute function only made compatible with big.matrix objects.

`compute`	returns a list containing the following components:
`neurons`	a list of the neurons' output for each layer of the neural network.
`net.result`	a matrix containing the overall result of the neural network.