default_params_fno.yml

#### best of hyperparameters for FNO
#### Dataset parameters
arc: "FNO"
dataset_train: "dataset/datasetHH_test2_train.mat"
dataset_test: "dataset/datasetHH_test2_test.mat"
labels: False
full_v_data: True
batch_size: 100
#### Architecture parameters
scaling: "None" # Default, Gaussian, Mixed or Fourier
scheduler: "reduceonplateau"
Loss: "L2" # mse, L2 or H1
epochs: 2000
lr: 0.001
#### FNO parameters
d_a: 2
d_v: 32
d_u: 1
L: 3
modes: 16
act_fun: "ReLu"
initialization: "Kaiming"
scalar: "Complex"
padding: True
arc_fno: "Zongyi"
x_padding: 10
RNN: False
#### Plotting and tensorboard
show_every: 1
ep_step: 20
idx: [7, 42, 93, 158] # random test sample
plotting: False