getDefaultTrainOptions: Get default training options
In MOFA: Multi-Omics Factor Analysis (MOFA)

Function to obtain the default training options.

1	getDefaultTrainOptions()

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).