deep.transform.symmetriclogit

Symmetric logit transform

Since R2026a

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    Syntax

    Y = deep.transform.symmetriclogit(X)

    Description

    Y = deep.transform.symmetriclogit(X) applies the symmetric logit transform to the input X. When you convert a Statistics and Machine Learning Toolbox™ neural network model that uses a symmetric logit score transform to a dlnetwork object, the last layer of the network is a function layer that applies the deep.transform.symmetriclogit function.

    example

    Examples

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    Open Live Script

    Apply the symmetric logit transform to random data.

    X = rand(3,5);
X = dlarray(X,"CB");
Y = deep.transform.symmetriclogit(X)
    Y = 
  3(C) × 5(B) dlarray

    0.3862    0.4274    0.1384    0.4482    0.4451
    0.4243    0.3060    0.2668    0.0786    0.2380
    0.0634    0.0487    0.4452    0.4505    0.3801

    Create a function layer that applies the symmetric logit transform.

    layer = functionLayer(@deep.transform.symmetriclogit)
    layer = 
  FunctionLayer with properties:

             Name: ''
       PredictFcn: @deep.transform.symmetriclogit
      Formattable: 0
    Acceleratable: 0

   Learnable Parameters
    No properties.

   State Parameters
    No properties.

  Show all properties

    Input Arguments

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    Input data, specified as a dlarray object. X must have at most two dimensions.

    Output Arguments

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    Transformed data, returned as a dlarray object that is the same size as X.

    Algorithms

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    Version History

    Introduced in R2026a

    See Also

    | | | | | | | | | (Statistics and Machine Learning Toolbox) | (Statistics and Machine Learning Toolbox)

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