View source on GitHub
|
Represetns a categorical calibration layer.
tfl.model_info.CategoricalCalibrationNode(
input_node, output_values, default_input
)
tfl.model_info.CategoricalCalibrationNode
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Last updated 2024-08-02 UTC.
[null,null,["Last updated 2024-08-02 UTC."],[],[],null,["# tfl.model_info.CategoricalCalibrationNode\n\n\u003cbr /\u003e\n\n|----------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/lattice/blob/v2.1.1/tensorflow_lattice/python/model_info.py#L69-L79) |\n\nRepresetns a categorical calibration layer. \n\n tfl.model_info.CategoricalCalibrationNode(\n input_node, output_values, default_input\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Attributes ---------- ||\n|-----------------|------------------------------------------------------------------------------------------------------------------------------|\n| `input_node` | Input node for the calibration. |\n| `output_values` | Output calibration values. If the calibrated feature has default/missing values, the last value will be for default/missing. |\n| `default_input` | Default/missing input value or None. |\n\n\u003cbr /\u003e"]]