Module: tfl.lattice_layer
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Lattice layer with monotonicity, unimodality, trust and bound constraints.
Keras implementation of tensorflow lattice layer. This layer takes one or more
d-dimensional input(s) and combines them using a lattice function, satisfying
monotonicity, unimodality, trust and bound constraints if specified.
Classes
class LaplacianRegularizer
: Laplacian regularizer for tfl.layers.Lattice
layer.
class LatticeConstraints
: Constraints for tfl.layers.Lattice
layer.
class LinearInitializer
: Initializes a tfl.layers.Lattice
as linear function.
class RandomMonotonicInitializer
: Initializes a tfl.layers.Lattice
as uniform random monotonic function.
class TorsionRegularizer
: Torsion regularizer for tfl.layers.Lattice
layer.
Functions
create_kernel_initializer(...)
: Returns a kernel Keras initializer object from its id.
Other Members |
LATTICE_KERNEL_NAME
|
'lattice_kernel'
|
LATTICE_SIZES_NAME
|
'lattice_sizes'
|
absolute_import
|
Instance of __future__._Feature
|
division
|
Instance of __future__._Feature
|
print_function
|
Instance of __future__._Feature
|
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Last updated 2024-08-02 UTC.
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