LSTM_CDRs-main / configuration.json
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{
"model_name": "LSTM_CDRs",
"framework": "TensorFlow/Keras",
"task": "cdr-amino-acid-sequence-generation",
"description": "LSTM_CDRs is an LSTM/GRU-based CDR amino acid sequence generation model for training on CDR sequence clusters and sampling new candidate sequences.",
"entry_points": {
"train": "LSTM_CDRs.py",
"inference": "LSTM_CDRs.py",
"smoke_test": "python LSTM_CDRs.py --help"
},
"data_dir": "data",
"datasets": [
"data/Cluster1.csv",
"data/Cluster2.csv",
"data/Cluster3.csv",
"data/Cluster4.csv"
],
"requirements": "requirements.txt",
"environment": "environment.yml",
"weight_dir": "<run_name>/checkpoint",
"license": "MIT"
}