Closed PierreBarrat closed 6 months ago
Hi @PierreBarrat
There is no official way to do it as of now. A practical way (but it requires installing JLD2 is the following pipeline:
julia> using JLD2, ArDCA
julia> arnet,arvar=ardca("CODE/ArDCA/data/PF14/PF00014_mgap6.fasta.gz");
julia> jldsave("pf14.jld2",arnet14=arnet14, arvar14=arvar14)
julia> out=JLD2.load("pf14.jld2");
out
a dictionary with two keys
: "arnet14", and "arvar14". More precisely
out["arnet14"]
will contain the arnet14::ArNet
output of ardca
and out["arvart14"]
the arvar14::ArVar
one.
Thanks for the really nice package! A question (rather than an issue): is there any official way to save a trained model to a file to read it later? Pierre