config_test.yml

# The base configuration of the benchmark
log: True
name: ["doc_summit",]
label: "_"
file_type: ".hdf5"
views:
pathf: "examples/data/"
nice: 0
random_state: 42
nb_cores: 4
full: False
debug: True
add_noise: False
noise_std: 0.0
res_dir: "../results/"
track_tracebacks: False

# All the classification-realted configuration options
multiclass_method: "oneVersusOne"
split: 0.8
nb_folds: 2
nb_class: 3
classes:
type: [ "monoview"]
algos_monoview: ["decision_tree", "adaboost" ]
algos_multiview: ["weighted_linear_late_fusion"]
stats_iter: 3
metrics:
  accuracy_score: {}
  f1_score: {}
metric_princ: "accuracy_score"
hps_type: "Random"
hps_args:
  n_iter: 10
  equivalent_draws: False
  decision_tree:
    max_depth:
      Randint:
        low: 1
        high: 10


weighted_linear_early_fusion:
  view_weights: null
  monoview_classifier_name: "decision_tree"
  monoview_classifier_config:
    decision_tree:
      max_depth: 12
      criterion: "gini"
      splitter: "best"
weighted_linear_late_fusion:
  classifier_configs:
    - svm_linear:
        C: 0.9534901260357467
    - adaboost:
        base_estimator: DecisionTreeClassifier
        base_estimator__ccp_alpha: 0.0
        base_estimator__class_weight: null
        base_estimator__criterion: gini
        base_estimator__max_depth: 4
        base_estimator__max_features: null
        base_estimator__max_leaf_nodes: null
        base_estimator__min_impurity_decrease: 0.0
        base_estimator__min_impurity_split: null
        base_estimator__min_samples_leaf: 1
        base_estimator__min_samples_split: 2
        base_estimator__min_weight_fraction_leaf: 0.0
        base_estimator__presort: deprecated
        base_estimator__splitter: best
        n_estimators: 317