"FeatureVector"
returns the values of the features of
the WolframModel
evolution as computed
by "FeatureAssociation"
.
In[] := WolframModel[{{x, y}, {x, z}} -> {{x, z}, {x, w}, {y, w}, {z, w}}, {{0, 0}, {0, 0}}, 5]["FeatureVector"]
For the list of features
see FeatureAssociation
.
This property is useful for applying machine learning to Wolfram Models explorations.
In[] := BlockRandom[
FeatureSpacePlot[#["FeatureVector"] -> Image[#["FinalStatePlot"], ImageSize -> Tiny] & /@
(WolframModel[{{x, y}, {x, z}} -> {{x, z}, {x, w}, {y, w}, {z, w}}, #, 6] &) /@
Table[RandomHypergraph[{3, 2}, 2], 10], LabelingFunction -> Callout], RandomSeeding -> 2
]