Module: tfl.cdf_layer
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Projection free Cumulative Distribution Function layer.
Keras implementation of TensorFlow Lattice CDF layer. Layer takes single or
multi-dimensional input and transforms it using a set of step functions. The
layer is naturally monotonic and bounded to the range [0, 1].
Functions
create_kernel_initializer(...): Returns a kernel Keras initializer object from its id.
Other Members |
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absolute_import
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Instance of __future__._Feature
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division
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Instance of __future__._Feature
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print_function
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Instance of __future__._Feature
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Last updated 2024-08-02 UTC.
[null,null,["Last updated 2024-08-02 UTC."],[],[],null,["# Module: tfl.cdf_layer\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/lattice/blob/v2.1.1/tensorflow_lattice/python/cdf_layer.py) |\n\nProjection free Cumulative Distribution Function layer.\n\nKeras implementation of TensorFlow Lattice CDF layer. Layer takes single or\nmulti-dimensional input and transforms it using a set of step functions. The\nlayer is naturally monotonic and bounded to the range \\[0, 1\\].\n\nFunctions\n---------\n\n[`create_kernel_initializer(...)`](../tfl/cdf_layer/create_kernel_initializer): Returns a kernel Keras initializer object from its id.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Other Members ------------- ||\n|-----------------|-----------------------------------|\n| absolute_import | Instance of `__future__._Feature` |\n| division | Instance of `__future__._Feature` |\n| print_function | Instance of `__future__._Feature` |\n\n\u003cbr /\u003e"]]
View source on GitHub