RPPP/models/result.yaml

feature_type: numerical + categorical
model:
  alpha: 0.0001
  average: false
  class_weight: null
  early_stopping: false
  epsilon: 0.1
  eta0: 0.0
  fit_intercept: true
  l1_ratio: 0.15
  learning_rate: optimal
  loss: log
  max_iter: 1000
  n_iter_no_change: 5
  n_jobs: null
  penalty: l2
  power_t: 0.5
  random_state: 42
  shuffle: true
  tol: 0.001
  validation_fraction: 0.1
  verbose: 0
  warm_start: false
model_class: SGDClassifier