scalation.modeling.neuralnet.NeuralNet_XL
See theNeuralNet_XL companion class
The NeuralNet_XL companion object provides factory methods for creating multi-layer (one+ hidden layers) neural networks. Note, 'scale' is defined in Scaling.
Attributes
Companion
class
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Supertypes
class Object
trait Matchable
class Any
Self type
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Create a NeuralNet_XL with automatic rescaling from a combined data matrix.
Create a NeuralNet_XL with automatic rescaling from a combined data matrix.
Value parameters
col
the first designated response column (defaults to the last column)
f
the array of activation function families between every pair of layers
fname
the feature/variable names
hparam
the hyper-parameters
nz
the number of nodes in each hidden layer, e.g., Array (5, 10) means 2 hidden with sizes 5 and 10
xy
the combined input and output matrix
Attributes
Create a NeuralNet_XL with automatic rescaling from a data matrix and response matrix.
Create a NeuralNet_XL with automatic rescaling from a data matrix and response matrix.
Value parameters
f
the array of activation function families between every pair of layers
fname
the feature/variable names
hparam
the hyper-parameters
nz
the number of nodes in hidden layer (-1 => use default formula)
x
the input/data matrix
y
the output/response matrix
Attributes
Set the scale flag to the given value.
Set the scale flag to the given value.
Value parameters
scale_
the new value for the scale flag
Attributes
Inherited from:
Scaling
The 'scale' flag indicated whether the data is to be rescaled/normalized
The 'scale' flag indicated whether the data is to be rescaled/normalized
Attributes
Inherited from:
Scaling