Function to train an untrained
output file for the model (.hdf5 format). If
logical indicating whether to save the training data in the hdf5 file.
This is useful for some downstream analysis (mainly functions with the prefix
This function is called once a MOFA object has been prepared (using
In this step the R package calls the
mofapy2 Python package, where model training is performed.
The interface with Python is done with the
If you have several versions of Python installed and R is not detecting the correct one,
you can change it using
reticulate::use_python when loading the R session.
Alternatively, you can let us install mofapy2 for you using
basilisk if you set use_basilisk to
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# Load data (in data.frame format) file <- system.file("extdata", "test_data.RData", package = "MOFA2") load(file) # Create the MOFA object MOFAmodel <- create_mofa(dt) # Prepare the MOFA object with default options MOFAmodel <- prepare_mofa(MOFAmodel) # Run the MOFA model ## Not run: MOFAmodel <- run_mofa(MOFAmodel, use_basilisk = TRUE)
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