RDFSCompletionReasoningLSTM issueshttps://gitlab.cs.ksu.edu/bpankask/RDFSCompletionReasoningLSTM/-/issues2021-10-07T16:06:23-05:00https://gitlab.cs.ksu.edu/bpankask/RDFSCompletionReasoningLSTM/-/issues/12Potential Cross Validation Problem2021-10-07T16:06:23-05:00bpankaskPotential Cross Validation ProblemI think the current cross validation method just repeats the same train/validation split k times instead of shuffling these?I think the current cross validation method just repeats the same train/validation split k times instead of shuffling these?bpankaskbpankaskhttps://gitlab.cs.ksu.edu/bpankask/RDFSCompletionReasoningLSTM/-/issues/11Testing Diff Data2021-10-07T16:32:03-05:00bpankaskTesting Diff DataNeed to add functionality to test on different data then trained.Need to add functionality to test on different data then trained.bpankaskbpankaskhttps://gitlab.cs.ksu.edu/bpankask/RDFSCompletionReasoningLSTM/-/issues/10Update Tests for main.py2021-10-06T18:31:27-05:00bpankaskUpdate Tests for main.pyTests are outdated and need to be updated. If there is a way to write them so that they work with synthetic examples this would be ideal.Tests are outdated and need to be updated. If there is a way to write them so that they work with synthetic examples this would be ideal.bpankaskbpankaskhttps://gitlab.cs.ksu.edu/bpankask/RDFSCompletionReasoningLSTM/-/issues/2Noisy Data2021-07-14T18:33:32-05:00bpankaskNoisy Data*Created by: bpankask*
Need to add functionality which will generate, train, and evaluate data which contains bad triples.*Created by: bpankask*
Need to add functionality which will generate, train, and evaluate data which contains bad triples.