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config.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"
+}