Plotting with Torch7

Conclusion

Actually, dygraph/NVD3 provides the best plotting facilities. Yet, they are a bit technical and they are heavy to implement. So, use them if you need interactive plotting with complex data. In addition, you need to be a bit familiar with web development.

Bokeh/iTorch provides the best tool out-of the box. It is easy to use and it has nice figures. Yet, you may be a bit limited if you want advanced stuff. If a new wrapper is developed, I think this API may become the best one to use.

If you are a gnuplot expert. Keep using to it. Gnuplot is powerful even if it is a bit old-fashioned. It still does the work very well. Otherwise, prefer Bokeh/iTorch.

3 Comments on “Plotting with Torch7”

1. Great,
I would like to ask if there is a way how to compute Recall and precision from a confusion matrix and draw them if it is possible. I am facing this problem for more than a month but I could not find an answer. So, please help.

• Sure!
First, you can compute your confusion matrix my using the optim package: https://github.com/torch/optim/blob/master/ConfusionMatrix.lua

Then, if you want to plot accuracy/recall upon time, Dygraph/Display is a good library

For every steps:
– Compute the Precision/Recall from your confusion matrix
\text{Precision}=\frac{tp}{tp+fp} \,
\text{Recall}=\frac{tp}{tp+fn} \,

– Plot it !

Lua code:
 local labels = {"epoch", 'accuracy', 'recall'} local data = {}

 local config = { title = "Global accuracy/recall upon time", labels = labels, ylabel = "ratio", } for t = 1, noEpoch do --computation local accuracy, recall = someFct() --storage table.insert(data, {t, accuracy, recall }) -- display config.win = disp.plot(data, config) 

end 

• Hi
Many thanks for replying but I try it many times but did not work with. Could you please give me more intuition about the code.
Regards,