target: 'NO2'

lightgbm:
  nrounds: 200
  eta: 0.03
  num_leaves: 32

dynamic_regression:
  ntrain: 8760 # 24*365 = 1 year of training data

random_forest:
  num.trees: 300
  mtry: NULL
  min.node.size: NULL
  max.depth: 10

fnn:
  activationfun: tanh
  output: linear
  learningrate: 0.05
  learningrate_scale: 1
  batchsize: 32
  momentum: 0.9
  visible_dropout: 0.0
  hidden_dropout: 0.0
  hidden:
    - 50
    - 50
  numepochs: 200

meteo_variables:
  - GLO
  - TMP
  - RFE
  - WIG
  - WIR
  - LDR
