# predict.MXFeedForwardModel¶

## Description¶

Predict the outputs given a model and dataset.

## Usage¶

predict.MXFeedForwardModel(

model,

X,

ctx = NULL,

array.batch.size = 128,

array.layout = "auto",

allow.extra.params = FALSE

)


## Arguments¶

Argument

Description

model

The MXNet Model.

X

The dataset to predict.

ctx

mx.cpu() or mx.gpu(). The device used to generate the prediction.

array.batch.size

The batch size used in batching. Only used when X is R’s array.

array.layout

can be “auto”, “colmajor”, “rowmajor”, (detault=auto).

The layout of array. “rowmajor” is only supported for two dimensional array. For matrix, “rowmajor” means dim(X) = c(nexample, nfeatures), “colmajor” means dim(X) = c(nfeatures, nexample) “auto” will auto detect the layout by match the feature size, and will report error when X is a square matrix to ask user to explicitly specify layout.

allow.extra.params

Whether allow extra parameters that are not needed by symbol.

If this is TRUE, no error will be thrown when arg_params or aux_params contain extra parameters that is not needed by the executor.