diff --git a/config_files/config_smote.yml b/config_files/config_smote.yml
new file mode 100644
index 0000000000000000000000000000000000000000..b07aa962ee02df0f408683505e5f6276c7c76a7a
--- /dev/null
+++ b/config_files/config_smote.yml
@@ -0,0 +1,262 @@
+# The base configuration of the benchmark
+log: True
+name: ["digits",]
+label: "_"
+file_type: ".hdf5"
+views:
+pathf: "/home/baptiste/Documents/Datasets/Digits/"
+nice: 0
+random_state: 42
+nb_cores: 1
+full: True
+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: 0.25
+nb_folds: 2
+nb_class:
+classes:
+type: ["monoview"]
+algos_monoview: ["decision_tree" ]
+algos_multiview: ["weighted_linear_early_fusion","weighted_linear_late_fusion"]
+stats_iter: 3
+metrics:
+ accuracy_score: {}
+ f1_score: {}
+metric_princ: "accuracy_score"
+hps_type: "None"
+hps_args:
+ n_iter: 10
+ equivalent_draws: False
+
+
+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:
+ weights: null
+ classifiers_names: "decision_tree"
+ classifier_configs:
+ decision_tree:
+ max_depth: 3
+ criterion: "gini"
+ splitter: "best"
+decision_tree:
+ max_depth: 3
+
+
+
+######################################
+## The Monoview Classifier arguments #
+######################################
+mumbo:
+ base_estimator__criterion: 'gini'
+ base_estimator__max_depth: 3
+ base_estimator__random_state: None
+ base_estimator__splitter: 'best'
+ best_view_mode: 'edge'
+ base_estimator: 'decision_tree'
+ n_estimators: 10
+
+mucombo:
+ base_estimator__criterion: 'gini'
+ base_estimator__max_depth: 3
+ base_estimator__random_state: None
+ base_estimator__splitter: 'best'
+ best_view_mode: 'edge'
+ base_estimator: 'decision_tree'
+ n_estimators: 10
+#
+#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_pregen:
+# max_depth: [10]
+# criterion: ["gini"]
+# splitter: ["best"]
+# n_stumps: [1]
+#
+#sgd:
+# loss: ["hinge"]
+# penalty: [l2]
+# alpha: [0.0001]
+#
+#knn:
+# n_neighbors: [5]
+# weights: ["uniform"]
+# algorithm: ["auto"]
+#
+#scm:
+# model_type: ["conjunction"]
+# max_rules: [10]
+# p: [0.1]
+#
+#scm_pregen:
+# model_type: ["conjunction"]
+# max_rules: [10]
+# p: [0.1]
+# n_stumps: [1]
+#
+#cq_boost:
+# mu: [0.01]
+# epsilon: [1e-06]
+# n_max_iterations: [5]
+# n_stumps: [1]
+#
+#cg_desc:
+# n_max_iterations: [10]
+# n_stumps: [1]
+#
+#cb_boost:
+# n_max_iterations: [10]
+# n_stumps: [1]
+#
+#lasso:
+# alpha: [1]
+# max_iter: [2]
+#
+#gradient_boosting:
+# n_estimators: [2]
+#
+#
+#######################################
+## The Multiview Classifier arguments #
+#######################################
+#
+#weighted_linear_early_fusion:
+# view_weights: [null]
+# monoview_classifier_name: ["decision_tree"]
+# monoview_classifier_config:
+# decision_tree:
+# max_depth: [1]
+# criterion: ["gini"]
+# splitter: ["best"]
+#
+#entropy_fusion:
+# classifiers_names: [["decision_tree"]]
+# classifier_configs:
+# decision_tree:
+# max_depth: [1]
+# criterion: ["gini"]
+# splitter: ["best"]
+#
+#disagree_fusion:
+# classifiers_names: [["decision_tree"]]
+# classifier_configs:
+# decision_tree:
+# max_depth: [1]
+# criterion: ["gini"]
+# splitter: ["best"]
+#
+#
+#double_fault_fusion:
+# classifiers_names: [["decision_tree"]]
+# classifier_configs:
+# decision_tree:
+# max_depth: [1]
+# criterion: ["gini"]
+# splitter: ["best"]
+#
+#difficulty_fusion:
+# classifiers_names: [["decision_tree"]]
+# classifier_configs:
+# decision_tree:
+# max_depth: [1]
+# criterion: ["gini"]
+# splitter: ["best"]
+#
+#scm_late_fusion:
+# classifiers_names: [["decision_tree"]]
+# p: 0.1
+# max_rules: 10
+# model_type: 'conjunction'
+# classifier_configs:
+# decision_tree:
+# max_depth: [1]
+# criterion: ["gini"]
+# splitter: ["best"]
+#
+#majority_voting_fusion:
+# classifiers_names: [["decision_tree", "decision_tree", "decision_tree", ]]
+# classifier_configs:
+# decision_tree:
+# max_depth: [1]
+# criterion: ["gini"]
+# splitter: ["best"]
+#
+#bayesian_inference_fusion:
+# classifiers_names: [["decision_tree", "decision_tree", "decision_tree", ]]
+# classifier_configs:
+# decision_tree:
+# max_depth: [1]
+# criterion: ["gini"]
+# splitter: ["best"]
+#
+#weighted_linear_late_fusion:
+# classifiers_names: [["decision_tree", "decision_tree", "decision_tree", ]]
+# classifier_configs:
+# decision_tree:
+# max_depth: [1]
+# criterion: ["gini"]
+# splitter: ["best"]
+#
+#mumbo:
+# base_estimator: [null]
+# n_estimators: [10]
+# best_view_mode: ["edge"]
+#
+#lp_norm_mkl:
+# lmbda: [0.1]
+# n_loops: [50]
+# precision: [0.0001]
+# kernel: ["rbf"]
+# kernel_params:
+# gamma: [0.1]
+#
+#mvml:
+# reg_params: [[0,1]]
+# nystrom_param: [1]
+# learn_A: [1]
+# learn_w: [0]
+# n_loops: [6]
+# kernel_types: ["rbf_kernel"]
+# kernel_configs:
+# gamma: [0.1]
+
+
diff --git a/multiview_platform/mono_multi_view_classifiers/exec_classif.py b/multiview_platform/mono_multi_view_classifiers/exec_classif.py
index 67c25a32f9a5d4ee06b862b3aed3017f85020642..91799709bb25569e9da44ecbd1a6474938e83ec5 100644
--- a/multiview_platform/mono_multi_view_classifiers/exec_classif.py
+++ b/multiview_platform/mono_multi_view_classifiers/exec_classif.py
@@ -903,7 +903,7 @@ def exec_classif(arguments):
args["full"],
)
args["name"] = datasetname
- splits = execution.gen_splits(dataset_var.get_labels(),
+ splits = execution.gen_splits(dataset_var,
args["split"],
stats_iter_random_states)
diff --git a/multiview_platform/mono_multi_view_classifiers/utils/execution.py b/multiview_platform/mono_multi_view_classifiers/utils/execution.py
index 163b75812a5785ec7a7f1337d9ad358c6e790206..cd3a52c8a0a31c3f1abf64c0cf7eb14b3339cf37 100644
--- a/multiview_platform/mono_multi_view_classifiers/utils/execution.py
+++ b/multiview_platform/mono_multi_view_classifiers/utils/execution.py
@@ -213,7 +213,7 @@ def gen_splits(dataset_var, split_ratio, stats_iter_random_states):
for ind in test_fold:
if not example_ids[ind].startswith("new_"):
test_indices.append(indices[ind])
- splits.append([train_indices, test_indices])
+ splits.append([train_indices, np.array(test_indices)])
return splits