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chambon2018/config.json

@@ -0,0 +1,32 @@
+{
+  "model_class": "physioex.models.chambon2018:Chambon2018Net",
+  "model_kwargs": {
+    "n_classes": 5,
+    "in_channels": 1,
+    "sf": 128,
+    "n_times": 3840,
+    "dropout": 0.25
+  },
+  "training": {
+    "dataset": "mass",
+    "dataset_kwargs": {
+      "cohort": 3
+    },
+    "channels": [
+      "EEG"
+    ],
+    "pipeline_preset": "raw",
+    "pipeline_kwargs": {
+      "target_fs": 128.0
+    },
+    "sequence_length": 3,
+    "max_epochs": 100,
+    "lr": 0.001,
+    "weight_decay": 0,
+    "batch_size": 128,
+    "loss": "CrossEntropyLoss",
+    "fold": 0,
+    "early_stopping_patience": 5
+  },
+  "reference": "Chambon et al. 2018 - A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series (arXiv:1707.03321)"
+}