Multilayer Perceptron Network with Dropout

Multi-Layer Perceptron, with multiple layers

Multilayer Perceptron Network by Stochastic Gradient Descent

Monotone Multi-Layer Perceptron Neural Network

The `mxnet` package is not yet on CRAN. See [https://mxnet.apache.org/](https://mxnet.apache.org/) for installation instructions.

The `mxnet` package is not yet on CRAN. See [https://mxnet.apache.org/](https://mxnet.apache.org/) for installation instructions. Users are strongly advised to define `num.round` themselves.

Since this model always predicts the same value, R-squared values will always be estimated to be NA.

Requires ordinalNet package version >= 2.0

# score sets tried prior to the approximation

Unlike other packages used by `train`, the `obliqueRF` package is fully loaded when this model is used.

Optimal Weighted Nearest Neighbor Classifier

Partial Least Squares Generalized Linear Models

Unlike other packages used by `train`, the `plsRglm` package is fully loaded when this model is used.

Unlike other packages used by `train`, the `randomGLM` package is fully loaded when this model is used.

Activation Limit for Conflicting Classes

This CART model replicates the same process used by the `rpart` function where the model complexity is determined using the one-standard error method. This procedure is replicated inside of the resampling done by `train` so that an external resampling estimate can be obtained.

Robust Regularized Linear Discriminant Analysis

Unlike other packages used by `train`, the `rrlda` package is fully loaded when this model is used.

Unlike other packages used by `train`, the `rrcovHD` package is fully loaded when this model is used.

Relevance Vector Machines with Linear Kernel

Relevance Vector Machines with Polynomial Kernel

Relevance Vector Machines with Radial Basis Function Kernel

Subtractive Clustering and Fuzzy c-Means Rules

Fuzzy Rules Using the Structural Learning Algorithm on Vague Environment

Unlike other packages used by `train`, the `spikeslab` package is fully loaded when this model is used.