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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.