sequential_module: Sequential neural network module function factory
In crumble: Flexible and General Mediation Analysis Using Riesz Representers
View source: R/sequential_module.R
sequential_module R Documentation
Sequential neural network module function factory
Description
Sequential neural network module function factory
Usage
sequential_module(layers = 1, hidden = 20, dropout = 0.1)
Arguments
layers
[numeric(1)]
Number of hidden layers.
[numeric(1)]
Number of hidden units.
dropout
[numeric(1)]
Dropout rate.
Value
A function that returns a sequential neural network module.
Examples
if (torch::torch_is_installed()) sequential_module()
crumble documentation built on April 13, 2025, 5:10 p.m.
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View source: R/sequential_module.R
| sequential_module | R Documentation |
Sequential neural network module function factory
Description
Sequential neural network module function factory
Usage
sequential_module(layers = 1, hidden = 20, dropout = 0.1)
Arguments
layers |
[numeric(1)] |
|
[numeric(1)] | |
dropout |
[numeric(1)] |
Value
A function that returns a sequential neural network module.
Examples
if (torch::torch_is_installed()) sequential_module()
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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