config_test.yml

# The base configuration of the benchmark
Base :
  log: True
  name: ["plausible"]
  label: "_"
  type: ".hdf5"
  views:
  pathf: "../data/"
  nice: 0
  random_state: 42
  nb_cores: 1
  full: True
  debug: True
  add_noise: False
  noise_std: 0.0
  res_dir: "../results/"

# All the classification-realted configuration options
Classification:
  multiclass_method: "oneVersusOne"
  split: 0.4
  nb_folds: 2
  nb_class: 3
  classes:
  type: ["monoview"]
  algos_monoview: ["decision_tree",]
  algos_multiview: ["svm_jumbo_fusion"]
  stats_iter: 2
  metrics: ["accuracy_score", "f1_score"]
  metric_princ: "f1_score"
  hps_type: "randomized_search-equiv"
  hps_iter: 1


#####################################
# The Monoview Classifier arguments #
#####################################

random_forest:
  n_estimators: [25]
  max_depth: [3]
  criterion: ["entropy"]

svm_linear:
  C: [1]

svm_rbf:
  C: [1]

svm_poly:
  C: [1]
  degree: [2]

adaboost:
  n_estimators: [50]
  base_estimator: ["DecisionTreeClassifier"]

adaboost_pregen:
  n_estimators: [50]
  base_estimator: ["DecisionTreeClassifier"]
  n_stumps: [1]

adaboost_graalpy:
  n_iterations: [50]
  n_stumps: [1]

decision_tree:
  max_depth: [10]
  criterion: ["gini"]
  splitter: ["best"]