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using NeuralNets
using HDF5, JLD


    

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# reconstruct RunResults
results = load("trial1.jld","results");


    

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using Gadfly


    

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set_default_plot_size(20cm, 20cm)


    

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# the below is pretty hopeless - histogram plots somehow messed up!
names = results.names
pre_init = results.pre_init

li=7

horz_plots = Plot[]
layer_name = names[li]
for pre_conn in pre_init[li]
    pre_layer_name = names[pre_conn.s]'
    weights = [syn.w for syn in pre_conn.synapses]
    weights = float(weights)
    p = plot(x=weights,Geom.histogram,Guide.title("$pre_layer_name -> $layer_name"))
    push!(horz_plots,p)
end
if !isempty(horz_plots)
    hp = hstack(horz_plots)
end
hp


    

    
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for li=1:4
    println(li) 
end


    

    




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plot(x=weights,Geom.histogram)


    

    
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#draw(PNG("gadfly.png", 300, 100), pl)