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recipes/MOABB/hparams/MotorImagery/BNCI2014001/LMDA.yaml
@@ -161,7 +161,7 @@ cnn_depth_attn_kernelsize: !apply:round
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- !ref <cnn_temporal_kernels> / <cnn_depth_attn_kernelsize_ratio> # using the original ratio as in the publication (3.5)
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cnn_pool: 5 # @orion_step1: --cnn_pool~"uniform(1, 8,discrete=True)"
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dropout: 0.1748 # @orion_step1: --dropout~"uniform(0.0, 0.5)"
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-activation_type: 'elu'
+activation_type: 'gelu'
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model: !new:models.LMDA.LMDA
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input_shape: !ref <input_shape>
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