Learning the tree from lifted relational random walks

[SeongwooLimKR]

Dear all,

After runing the lifted relation random walks, I get RWRPredicates.txt like following

When I follow the guide of grounded relational random walks, the result is just inference with given weight.

If I run the with -l flag like,

java -cp boostsrl_v1.1.1.jar edu.wisc.cs.will.GroundRelationalRandomWalks.RunGroundRelationalRandomWalks -grw -mln -l -train "./data/NELL/train/" -target teamplayssport -trees 1 -model "./data/NELL/rwr_model/"

, than the code generates tree with new structure and weight.

I want to learn the weight for the tree from lifted relational random walks
Is there any way to learn only weight without change the structure?

Thank you,
-Seongwoo

[navdeepkjohal]

Hello Seongwoo,

Thank you for your interest in the random walks code. Currently, we do not support learning parameters on the random walks. However, we are working on the solution. Meanwhile, you could try to run alchemy-parameter learning module on the random walk structures (given our learnt structures are consistent with alchemy i/p), as an alternative

Best
Navdeep