Added base config tests passing

multiview_platform/mono_multi_view_classifiers/exec_classif.py

@@ -816,7 +816,6 @@ def exec_classif(arguments):
         os.environ['OPENBLAS_NUM_THREADS'] = '1'
     stats_iter = args["stats_iter"]
     hyper_param_search = args["hps_type"]
-    multiclass_method = args["multiclass_method"]
     cl_type = args["type"]
     monoview_algos = args["algos_monoview"]
     multiview_algos = args["algos_multiview"]
@@ -825,7 +824,6 @@ def exec_classif(arguments):
                                                 args["name"])
     if not args["add_noise"]:
         args["noise_std"]=[0.0]
-    print(dataset_list)
     for dataset_name in dataset_list:
         noise_results = []
         for noise_std in args["noise_std"]:

multiview_platform/mono_multi_view_classifiers/monoview/exec_classif_mono_view.py

@@ -97,6 +97,11 @@ def exec_monoview(directory, X, Y, name, labels_names, classification_indices,
                               random_state)
 
     classifier.fit(X_train, y_train)  # NB_CORES=nbCores,
+    print(y_train)
+    print(X_train[:, 6])
+    print(X_train[:, 6]<=41.0)
+    quit()
+    print(X_test.shape)
     logging.debug("Done:\t Training")
 
     logging.debug("Start:\t Predicting")

multiview_platform/mono_multi_view_classifiers/monoview_classifiers/decision_tree.py

@@ -32,7 +32,8 @@ class DecisionTree(DecisionTreeClassifier, BaseMonoviewClassifier):
     #     return True
 
     def get_interpretation(self, directory, y_test):
-        interpretString = ""
+        interpretString = "First featrue : \n\t{} <= {}\n".format(self.tree_.feature[0],
+                                                               self.tree_.threshold[0])
         interpretString += self.get_feature_importance(directory)
         return interpretString
 

multiview_platform/mono_multi_view_classifiers/utils/configuration.py

@@ -36,7 +36,6 @@ def pass_default_config(log=True,
                         noise_std=0.0,
                         res_dir="../results/",
                         track_tracebacks=False,
-                        multiclass_method="oneVersusOne",
                         split=0.49,
                         nb_folds=5,
                         nb_class=None,
@@ -66,7 +65,6 @@ def pass_default_config(log=True,
     :param noise_std:
     :param res_dir:
     :param track_tracebacks:
-    :param multiclass_method:
     :param split:
     :param nb_folds:
     :param nb_class:
@@ -81,6 +79,7 @@ def pass_default_config(log=True,
     :param hps_iter:
     :return:
     """
+    print(locals()["name"])
     args = dict((key, value) for key, value in locals().items() if key !="kwargs")
     args = dict(args, **kwargs)
     return args