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Return statistically-based outputs for neural networks.

Usage

interpretnn(...)

interpretnn.default(object, B = 100, ...)

interpretnn.nnet(object, X, B = 100, ...)

interpretnn.keras.engine.training.Model(object, X, y, B = 100, ...)

interpretnn.nn(object, B = 100, ...)

interpretnn.ANN(object, X, B = 100, ...)

interpretnn.luz_module_fitted(object, X, y, B = 100, ...)

Arguments

...

arguments passed to or from other methods

object

nnet object

B

number of bootstrap replicates

X

matrix of input data

y

response variable

Value

A list with information of the optimal model.

  • interpretnn - object of class interpretnn.

interpretnn object

interpretnn object

interpretnn object

interpretnn object

interpretnn object

interpretnn object

interpretnn object