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Classes defining trained TFL model structure and parameter information.
This package provides representations and tools for analysis of a trained TF Lattice model, e.g. a canned estimator in saved model format.
Classes
class CategoricalCalibrationNode: Represetns a categorical calibration layer.
class InputFeatureNode: Input features to the model.
class KroneckerFactoredLatticeNode: Represents a kronecker-factored lattice layer.
class LatticeNode: Represetns a lattice layer.
class LinearNode: Represents a linear layer.
class MeanNode: Represents an averaging layer.
class ModelGraph: Model info and parameter as a graph.
class PWLCalibrationNode: Represetns a PWL calibration layer.
Other Members | |
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| absolute_import |
Instance of __future__._Feature
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| division |
Instance of __future__._Feature
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| print_function |
Instance of __future__._Feature
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