Shape Prediction: integrate ShapeFactory with RLlib to evolve shapes

[ceteri]

To implement shape prediction, integrate ShapeFactory with RLlib to evolve shapes.

To do list:

1. ShapeFactory: leaderboard with non-dominated columns * leaderboard_actor based on https://docs.ray.io/en/master/actors.html

2. Simplex1: create probabilistic generators from dyad census * gamma dist to generate indexed links (depth) * predicate co-occurrence (approx. triad census) to generate indexed links (breadth)

3. EvoShape: represent nodes of internal evolved shape * randomize order of node list for potential EvoShape targets * walk node list to determine if action blocked * action method addNodeDepth() using subj gamma dist * action method addNodeBreadth() using ∪(pred co-occur ∩ subj gamma dist) * action method submit() * explore possible use of node2vec to guide addNodeBreadth() ?

4. gym-evoshape: subclass Gym environment * RL observation: action blocked, dist, rank_metric * threshold for MIN_INSTANCES => done * RL action space: EvoShape methods, where allowed * RL reward structure: (neg) steps, (pos) rank_metric * visualize subgraph

5. calculate random baseline of GymKG to generate graph shapes (shape prediction)

6. adapt for RLlib training with PPO