Tom Breloff

Here's a new recipe I just added for OnlineAI: ``` using MLPlots, OnlineAI net = buildClassificationNet(3,1,[15,10,5]) for i in 1:1000 x = rand(3) update!(net, x, Float64[sum(x)]) end plot(net) ``` 

> There seems to be a bug with gadfly when the position should be at y = 0 That's weird > Also the cricles seem to be of fixed size,...

Spike trains: ``` using OnlineAI, MLPlots spikes = SpikeTrains(5) for i in 1:1000 push!(spikes, rand(1:5), rand()) end spikes.plt ```  and the same with 50 neurons: 

Possible you need the dev branch of Plots and/or OnlineAI? What does Pkg.status() say? > On Dec 16, 2015, at 11:31 AM, Diego Javier Zea [email protected] wrote: > > I'm...

Cool! If your Roc object holds everything you need to do the plot, then yes you should just need to implement the _apply_recipe method. Use NeuralNet or the loss functions...

Lots of ways, here's one: ``` using Plots pyplot() x = rand(5) scatter(x, ann=[(2,x[2]-0.05,text("this is #2")), (3,x[3],text(" this is #3", :left, 20, :red, :monospace))]) ```  The tuples are: (x,...

> Is there a way to know if the call to _apply_recipe was did for plot or plot! inside the function? Actually, `_apply_recipe` is called within `plot!` (which is also...

Oh sorry. You're right, no plt available. If you give me a compelling use-case, I could add an additional arg to the method... Maybe a keyword arg? Let me know...

Ok I'll consider replacing the "issubplot" keyword with a "plot_object" keyword, passing in either the Plot or Subplot objects. Then, in addition to checking the type, you could check the...

Not sure. It might be good to keep it as a catch-all for JuliaML plotting. Or maybe everything has a better home? On Tuesday, August 23, 2016, Christof Stocker [email protected]...