conf.etdataset.yml

---
# REQUIRED: Output directory
output_dir: output.etdataset

# REQUIRED: Input length
input_length: 512

# REQUIRED: Prediction length
prediction_length: 96

# REQUIRED: Number of features
no_features: 7

# REQUIRED: Number of mixer layers
no_mixer_layers: 2

# REQUIRED: Data source
data_src: csv-file

# REQUIRED: Path to the data source
data_src_csv: data/ETTh1.csv

# Optional: How to initialize the model (restarts training from scratch if set to from-scratch)
initialize: from-scratch # from-best-checkpoint

# Optional: Batch size
batch_size: 32

# Optional: Number of epochs
num_epochs: 100

# Optional: Learning rate
learning_rate: 0.00001

# Optional: Optimizer - Adam, SGD, RMSprop, etc
optimizer: Adam

# Optional: Random seed
random_seed: 42

# Optional: Validation split method
validation_split: temporal-holdout

# Optional: Validation split holdout - fraction of the data to be used for validation
# (only used if validation_split is set to temporal-holdout)
validation_split_holdout: 0.2

# Optional: dropout
dropout: 0.3

# Optional: Number of hidden channels in the feature mixing layer
feat_mixing_hidden_channels: null