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.