scalation.modeling.classifying.NeuralNet_Class_3L
See theNeuralNet_Class_3L companion class
The NeuralNet_Class_3L companion object provides factory methods for building three-layer (one hidden layer) neural network classifiers. Note, 'scale' is defined in Scaling.
Attributes
Companion
class
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Supertypes
class Object
trait Matchable
class Any
Self type
Members list
Create a NeuralNet_Class_3L classifier for the given combined matrix where the column col is the response/classification vector.
Create a NeuralNet_Class_3L classifier for the given combined matrix where the column col is the response/classification vector.
Value parameters
cname
the names for all classes
col
the designated response column (defaults to the last column)
f
the activation function family for layers 1->2 (input to output)
fname
the names for all features/variables
hparam
the hyper-parameters
nz
the number of nodes in hidden layer
xy
the combined data matrix (features and response)
Attributes
Create a NeuralNet_Class_3L classifier for a data matrix and response vector.
Create a NeuralNet_Class_3L classifier for a data matrix and response vector.
Value parameters
cname
the names for all classes
f
the activation function family for layers 1->2 (input to output)
fname
the feature/variable names
hparam
the hyper-parameters
nz
the number of nodes in hidden layer
x
the input/data matrix
y
the output/response vector
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