trainCurveFactors {MOFA} | R Documentation

## Training curve for the number of active factors

### Description

The MOFA model starts with an initial number of factors and inactive factors can be dropped during training if they explain small amounts of variation (as defined in `getDefaultModelOptions`). This allows the model to automatically infer the dimensionality of the latent space. The corresponding hyperparameters are defined in `prepareMOFA`.
All training statistics, including the number of active factors, can be fetch from the TrainStats slot of `MOFAmodel` .

### Usage

    trainCurveFactors(object)

### Arguments

`object` | a `MOFAmodel` object.

### Value

plot of number of active factors during training

### Examples

    # Example on the CLL data
    filepath <- system.file("extdata", "CLL_model.hdf5", package = "MOFAdata")
    MOFA_CLL <- loadModel(filepath)
    trainCurveFactors(MOFA_CLL)
    # Example on the scMT data
    filepath <- system.file("extdata", "scMT_model.hdf5", package = "MOFAdata")
    MOFA_scMT <- loadModel(filepath)
    trainCurveFactors(MOFA_scMT)

[Package MOFA version 1.6.2 Index]