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recipes/MOABB/hparams/SSVEP/Lee2019_SSVEP/EEGNet.yaml
@@ -168,7 +168,7 @@ dense_max_norm: 0.25 # kernel max-norm constaint of the dense layer
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dropout: 0.2662 # @orion_step1: --dropout~"uniform(0.0, 0.5)"
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activation_type: 'elu'
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-model: !new:speechbrain.lobes.models.EEGNet.EEGNet
+model: !new:models.EEGNet.EEGNet
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input_shape: !ref <input_shape>
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cnn_temporal_kernels: !ref <cnn_temporal_kernels>
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cnn_temporal_kernelsize: [!ref <cnn_temporal_kernelsize>, 1]
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