deep.transform.logit

Logit transform

Since R2026a

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    Syntax

    Y = deep.transform.logit(X)

    Description

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

    example

    Examples

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    Open Live Script

    Apply the logit transform to random data.

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

    0.6931    0.7137    0.5692    0.7241    0.7226
    0.7121    0.6530    0.6334    0.5393    0.6190
    0.5317    0.5244    0.7226    0.7252    0.6900

    Create a function layer that applies the logit transform.

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

             Name: ''
       PredictFcn: @deep.transform.logit
      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)

    Topics