sweep.yml

program: "./src/runner.py"
method: grid
project: "your_project_name"
name: "name" 

parameters:

# dataset
  dataset:
    # value: "energy-consumption" 
    value: "air-quality"
  
  seed:
    value: 42
  n_runs:
    value: 1

  basemodel:
    values: ["Linear"]
  # quantilemodel:
  #   values: ["QuantileLinear", "GradientBoosting"]
  n_hidden:
    value: 2 # for MLP
  hidden_layer_sizes:
    value: 100 # for MLP
  epochs:
    value: 50 # for MLP
  lr:
    value: 0.001 # for MLP
  batch_size:
    value: 32 # for MLP

# conformal
  cp_method_original:
    values: ["aci"]
  cp_method_trend:
    values: ["aci"]
  cp_method_seasonal:
    values: ["local_cp"]
  cp_method_noise:
    values: ["cv_plus"]

  local_cp_method:
    values: ["periodic"]
  
  # all conformal methods
  alpha:  
    value: 0.1
  
   # ACI only
  gamma: 
    value: 0.01
  replace_inf_method:
    values: ["max"]
  
  # EnbPI only
  n_bs_samples:
    values: [20]
  length:  # bootstrap
    value: 1
  
  # CV+ only
  k:
    value: 20
  
  # periodic only
  use_region:
    value: 1
  use_exponential:
    value: 0

  # saving
  save_dir:
    value: "./saved_outputs"