I try to replicate the training and evaluation using LSTM network for the phenotype benchmark.
I would like to ask if there are specific random seeds set in your system for the model training. (for the folders I saw the code provided them but for training no)
ie
from tensorflow import set_random_seed set_random_seed(2)
I get very close results (+/- 0.02 deviation) and I suspect this might be the issue. But let me know if there was some change
screenshot refers to this version of the paper:https://arxiv.org/pdf/1703.07771.pdf
Some more potential reasons for non replicability
I believe my data folders have the correct size ie: train/test size: 35622/6282
Regarding the environment I have the following dependencies using conda .
I faced issues with newer versions of python (I use python=3.7.12=hf930737_100_cpython)
complete set of dependencies: deps.txt
Thank you again for your work and active maintenance of this repository.
Hello,
I try to replicate the training and evaluation using LSTM network for the phenotype benchmark. I would like to ask if there are specific random seeds set in your system for the model training. (for the folders I saw the code provided them but for training no) ie
screenshot refers to this version of the paper:https://arxiv.org/pdf/1703.07771.pdf
from tensorflow import set_random_seed set_random_seed(2)I get very close results (+/- 0.02 deviation) and I suspect this might be the issue. But let me know if there was some changeSome more potential reasons for non replicability
Thank you again for your work and active maintenance of this repository.