Add files using upload-large-folder tool

inference/features_1min_1000hz/edf_info.csv

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+patient_name,edf_name,samples,missing_channels
+sub-openieegUCLA01,/mnt/SSD1/nipsdataset/dataset/ominiieeg/sub-openieegUCLA01/ses-01/ieeg/sub-openieegUCLA01_ses-01_task-sleep_ieeg.edf,7360,[]

inference/features_1min_1000hz/sub-openieegUCLA01_ses-01_task-sleep_ieeg.npz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a41f51d6f73c7e41dc17926a6475ca2f309e2cb4669cd58ab6ac200a69f1df9b
+size 1766785008

inference_output/cnn/2025-09-21/run3/data_config.json

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+{"feature_path": "/mnt/SSD1/nipsdataset/channel_training/channel_model_train/features_1min", "test_feature_path": "/mnt/SSD3/chenda/omniieeg-iclr/individual_channel_model/inference/features_1min_1000hz", "output_dir": "/mnt/SSD3/chenda/omniieeg-iclr/individual_channel_model/inference_output/cnn/2025-09-21/run3", "class_0_count": 60, "class_1_count": 550, "ignored_count": 0}

inference_output/cnn/2025-09-21/run3/model_config.json

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+{"model_class": "NeuralCNN", "model_params": {"in_channels": 1, "outputs": 1}}

inference_output/cnn/2025-09-21/run3/pre_processing_config.json

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+{"preprocessing_class": "NeuralCNNPreProcessing", "preprocessing_params": {"image_size": 224, "event_length": 60000, "frequency": 1000, "freq_range_hz": [10, 300], "selected_window_size_ms": 30000, "selected_freq_range_hz": [10, 300], "random_shift_ms": 0}}

inference_output/cnn/2025-09-21/run3/training_config.json

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+{"num_epochs": 10, "batch_size": 32, "learning_rate": 0.0003, "seed": 42, "device": "cuda:1", "verbose": true, "flip": true, "num_workers": 8, "validation_split_ratio": 0.2, "use_weighted_sampling": true, "use_weighted_loss": false}

inference_output/cnn/2025-09-21/run4/data_config.json

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+{"feature_path": "/mnt/SSD1/nipsdataset/channel_training/channel_model_train/features_1min", "test_feature_path": "/mnt/SSD3/chenda/omniieeg-iclr/individual_channel_model/inference/features_1min_1000hz", "output_dir": "/mnt/SSD3/chenda/omniieeg-iclr/individual_channel_model/inference_output/cnn/2025-09-21/run4", "class_0_count": 60, "class_1_count": 550, "ignored_count": 0}

inference_output/cnn/2025-09-21/run4/model_config.json

@@ -0,0 +1 @@
+{"model_class": "NeuralCNN", "model_params": {"in_channels": 1, "outputs": 1}}

inference_output/cnn/2025-09-21/run4/pre_processing_config.json

@@ -0,0 +1 @@
+{"preprocessing_class": "NeuralCNNPreProcessing", "preprocessing_params": {"image_size": 224, "event_length": 60000, "frequency": 1000, "freq_range_hz": [10, 300], "selected_window_size_ms": 30000, "selected_freq_range_hz": [10, 300], "random_shift_ms": 0}}

inference_output/cnn/2025-09-21/run4/test_metrics.json

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+{
+    "loss": NaN,
+    "accuracy": 0.9293478260869565,
+    "balanced_accuracy": 0.7387213651238898,
+    "precision": 0.9531519118153634,
+    "recall": 0.9701963534361852,
+    "f1": 0.9615986099044309,
+    "confusion_matrix": [
+        [
+            280,
+            272
+        ],
+        [
+            170,
+            5534
+        ]
+    ]
+}

inference_output/cnn/2025-09-21/run4/training_config.json

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+{"num_epochs": 10, "batch_size": 32, "learning_rate": 0.0003, "seed": 42, "device": "cuda:1", "verbose": true, "flip": true, "num_workers": 8, "validation_split_ratio": 0.2, "use_weighted_sampling": true, "use_weighted_loss": false}