checkForRemoteErrors

[wangcongjian]

Hello, I tried to "run_mofa" function and got the following error:

MOFAmodel <- run_mofa(MOFAobject, use_basilisk = TRUE, outfile = "result/MOFA_trained_model.hdf5")
Connecting to the mofapy2 package using basilisk.
Set 'use_basilisk' to FALSE if you prefer to manually set the python binary using 'reticulate'.

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use_float32 set to True: replacing float64 arrays by float32 arrays to speed up computations...

Successfully loaded view='RNA' group='group1' with N=837 samples and D=25134 features...
Successfully loaded view='miRNA' group='group1' with N=837 samples and D=1642 features...
Successfully loaded view='Methylation' group='group1' with N=837 samples and D=24401 features...
Successfully loaded view='Protein' group='group1' with N=837 samples and D=17028 features...
Successfully loaded view='Phospho' group='group1' with N=837 samples and D=44253 features...

Loaded 1 covariate(s) for each sample...

Model options:

• Automatic Relevance Determination prior on the factors: False
• Automatic Relevance Determination prior on the weights: True
• Spike-and-slab prior on the factors: False
• Spike-and-slab prior on the weights: False
  Likelihoods:
• View 0 (RNA): gaussian
• View 1 (miRNA): gaussian
• View 2 (Methylation): gaussian
• View 3 (Protein): gaussian
• View 4 (Phospho): gaussian

Error in checkForRemoteErrors(lapply(cl, recvResult)) :
one node produced an error: AssertionError: Smooth covariates applied but smooth options not defined. Please define set_smooth_options() before build()

However, there doesn't seem to exist a function as set_smooth_options(), so I don't know how to define it as described above. I really appreciate it if you can help me solve it.