ApproxCNNWeights: A list of weights and biases for experimental equating using...
In CambridgeAssessmentResearch/KernEqWPS: Kernel Equating Without Pre-Smoothing
ApproxCNNWeights R Documentation
A list of weights and biases for experimental equating using approximation to a convolutional neural network
Description
This list forms the basis of the PredPercentileCNN and EquateCNN functions. It is mainly supplied to satisfy any
curiosity about the way in which these functions work.
The weights and biases in this list are unlikely to be of real interest outside of the functions that
utilise them.
Usage
ApproxCNNWeights
Format
An object of class list of length 5.
CambridgeAssessmentResearch/KernEqWPS documentation built on Feb. 23, 2024, 9:34 p.m.
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| ApproxCNNWeights | R Documentation |
A list of weights and biases for experimental equating using approximation to a convolutional neural network
Description
This list forms the basis of the PredPercentileCNN and EquateCNN functions. It is mainly supplied to satisfy any curiosity about the way in which these functions work. The weights and biases in this list are unlikely to be of real interest outside of the functions that utilise them.
Usage
ApproxCNNWeights
Format
An object of class list of length 5.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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