getDefaultTrainOptions {MOFA} | R Documentation

## Get default training options

### Description

Function to obtain the default training options.

### Usage

    getDefaultTrainOptions()

### Details

The training options are the following:

- maxiter: numeric value indicating the maximum number of iterations. Default is 5000, but we recommend using the 'tolerance' as convergence criteria.

- tolerance: numeric value indicating the convergence threshold based on the change in Evidence Lower Bound (deltaELBO). For quick exploration we recommend this to be around 1.0, and for a thorough training we recommend a value of 0.01. Default is 0.1

- DropFactorThreshold: numeric hyperparamter to automatically learn the number of factors. It indicates the threshold on fraction of variance explained to consider a factor inactive and automatically drop it from the model during training. For example, a value of 0.01 implies that factors explaining less than 1% of variance (in each view) will be dropped. Default is 0, which implies that only factors that explain no variance at all will be removed

- verbose: logical indicating whether to generate a verbose output.

- seed: random seed for reproducibility (default is NULL, which samples a random seed).

### Value

Returns a list with default training options, which have to be passed as an argument to `prepareMOFA`

### Examples

    TrainOptions <- getDefaultTrainOptions()
    TrainOptions

[Package MOFA version 1.2.0 Index]