MLP: Automatic training of MLPs
In ahaeusser/tscv: Functions and utilities for tidy time series forecasting and time series cross-validation
MLP R Documentation
Automatic training of MLPs
Description
Automatic train a Multilayer Perceptron (MLPs) model.
This function is a wrapper for nnfor::mlp().
Usage
MLP(formula, ...)
Arguments
formula
Model specification (see "Specials" section, currently not in use...)
...
Further arguments passed to nnfor::mlp().
Value
mlp_model An object of class MLP.
ahaeusser/tscv documentation built on Dec. 25, 2024, 10:11 a.m.
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| MLP | R Documentation |
Automatic training of MLPs
Description
Automatic train a Multilayer Perceptron (MLPs) model.
This function is a wrapper for nnfor::mlp().
Usage
MLP(formula, ...)
Arguments
formula |
Model specification (see "Specials" section, currently not in use...) |
... |
Further arguments passed to |
Value
mlp_model An object of class MLP.
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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