Update README.md

dinarior · Jul 2, 2019 · c93a0fc · c93a0fc
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@@ -33,6 +33,9 @@ Use Julia's package manager:
 
 This package is aimed for distributed parallel computing, note that for it to work properly you must use it with atleast one worker process. More workers, distributed across different machines, are encouraged for increased performance.
 
+Check your number of workers using `nworkers()`, if needed, add using `addprocs(n)`, where `n` is the number of workers.
+For all the workers to recognize the package, you must start with `@everywhere using DPMMSubClusters`. If you require to set the seed (using the `seed` kwarg), add `@everywhere using Random` as well.
+
 The package currently contains priors for handling *Multinomial* or *Gaussian* mixture models.
 
 While being very verstile in the setting and configuration, there are 2 modes which you can work with, either the *Basic*, which will use mostly predefined configuration, and will take the data as an argument, or *Advanced* use, which allows more configuration, loading data from file, and saving the model, or running from a saved checkpoint.