Draw.MolsToGridImage(display_arr, molsPerRow=2, subImgSize=(400,400), useSVG=True, maxMols = 50) 3 number of unique smirks: 3 # choose the compounds we're interested in: a=4 # smiles: comp_a = sub_to_evader_transforms[sub_to_evader_transforms['smirks'] == dex.iloc[int(a/2...
StellarGraph.edges() can return edge weights as a separate NumPy array with include_edge_weights=True #754 StellarGraph.to_networkx supports ignoring node features (and thus being a little more efficient) with feature_name=None #841 StellarGraph.to_adjacency_matrix now ignores edge weights (that ...
whereby the first network, the generator, is tasked with fooling the second network, the discriminator. The generator creates 'fake’ pieces of data, in this case, images of pandas, to try and fool the discriminator into classifying the image as a real...