tfl.kronecker_factored_lattice_lib.verify_hyperparameters

Verifies that all given hyperparameters are consistent.

tfl.kronecker_factored_lattice_lib.verify_hyperparameters(
    lattice_sizes=None, units=None, num_terms=None, input_shape=None,
    monotonicities=None, output_min=None, output_max=None
)

This function does not inspect weights themselves. Only their shape. Use assert_constraints() to assert actual weights against constraints.

See tfl.layers.KroneckerFactoredLattice class level comment for detailed description of arguments.

Args
`lattice_sizes`	Lattice size to check against.
`units`	Units hyperparameter of `KroneckerFactoredLattice` layer.
`num_terms`	Number of independently trained submodels hyperparameter of `KroneckerFactoredLattice` layer.
`input_shape`	Shape of layer input. Useful only if `units` and/or `monotonicities` is set.
`monotonicities`	Monotonicities hyperparameter of `KroneckerFactoredLattice` layer. Useful only if `input_shape` is set.
`output_min`	Minimum output of `KroneckerFactoredLattice` layer.
`output_max`	Maximum output of `KroneckerFactoredLattice` layer.

Raises
`ValueError`	If lattice_sizes < 2.
`ValueError`	If units < 1.
`ValueError`	If num_terms < 1.
`ValueError`	If len(monotonicities) does not match number of inputs.

tfl.kronecker_factored_lattice_lib.verify_hyperparameters

Args

Raises