LogAnomaly model design fault

[baharhadadi]

In logadempirical/logdeep/models/lstm.py line 109, the inputs are set as:

input0, input1 = features[2], features[1]

where features[2] is semantic pattern according to logadempirical/logdeep/dataset/sample.py. However, in the original code of in logdeep repository, we have:

input0, input1 = features[0], features[1]

where features[0] is sequential_pattern.

Hence, the current LogAnomaly model in this rep is not working properly.

[heart-and-soul]

Hello, have you solved your problem? I also ran into the same question, whether the features[3] should be the embedding, but it doesn't seem to load successfully.