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Remove attribs for removed features

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This commit is contained in:
Dominik Moritz Roth 2024-05-28 17:03:54 +02:00
parent 09581178f7
commit b54fe502c1
1 changed files with 3 additions and 3 deletions
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6
config.yaml
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@ -33,13 +33,12 @@ feature_extractor:
length: null # Use full input size if set to null.
latent_projector:
type: 'fc' # Type of latent projector: 'fc', 'rnn', 'fourier'
type: 'fc' # Type of latent projector: 'fc', 'rnn' (Recommended: fc)
latent_size: 4 # Size of the latent representation before message passing.
layer_shapes: [32, 8] # List of layer sizes for the latent projector if type is 'fc' or 'fourier'.
activations: ['ReLU', 'ReLU'] # Activation functions for the latent projector layers if type is 'fc' or 'fourier'.
rnn_hidden_size: 4 # Hidden size for the RNN projector if type is 'rnn'.
rnn_num_layers: 1 # Number of layers for the RNN projector if type is 'rnn'.
pass_raw_len: 50 # Number of last samples to pass raw to the net in addition to frequencies (null = all) if type is 'fourier'.
middle_out:
region_latent_size: 4 # Size of the latent representation after message passing.
@ -64,7 +63,8 @@ evaluation:
full_compression: false # Perform full compression during evaluation.
bitstream_encoding:
type: identity # Bitstream encoding type: 'arithmetic', 'identity', 'bzip2'.
type: rice # Bitstream encoding type: 'identity', 'rice', 'binomHuffman', 'bzip2', 'arithmetic' (Recommended: rice)
k: 2 # k value if type is 'rice'
data:
url: https://content.neuralink.com/compression-challenge/data.zip # URL to download the dataset.