Example does not seem to work (python 3.6)

[palash1992]

Example does not seem to work (python 3.6)

[BenjaminLarrousse]

Hello,

Same here with python 2.7. Is there any workaround ?

[SkBlaz]

I fixed it by manually setting the dictionary of parameters, yet the problem given in example seems to remain.

[palash1992]

Hi,
Sorry for the delay in reply. I have modified the readme code to address the changes in the code. Now you need to specify the name of each input argument i.e. GraphFactorization(2, 100000, 110**-4, 1.0) has changed to GraphFactorization(d=2, max_iter=100000, eta=110**-4, regu=1.0)

[BenjaminLarrousse]

Ok, thanks @palash1992 . I have this error now:

---

ValueError Traceback (most recent call last)
in ()
41 print (embedding._method_name+':\n\tTraining time: %f' % (time() - t1))
42 # Evaluate on graph reconstruction
---> 43 MAP, prec_curv = gr.evaluateStaticGraphReconstruction(G, embedding, Y, None)
44 # Visualize
45 viz.plot_embedding2D(embedding.get_embedding(), di_graph=G, node_colors=None)

ValueError: too many values to unpack

[palash1992]

It has been fixed. The evaluation function now also returns error of reconstruction and baseline error. Thus, MAP, prec_curv = gr.evaluateStaticGraphReconstruction(G, embedding, Y, None) should now be MAP, prec_curv, err, err_baseline = gr.evaluateStaticGraphReconstruction(G, embedding, Y, None)