Removed lwlr

summit/multiview_platform/monoview_classifiers/lwlr.py

-from learners.algorithms.lwlr import LWLRLearner
-
-from ..monoview.monoview_utils import BaseMonoviewClassifier
-from summit.multiview_platform.utils.hyper_parameter_search import CustomUniform
-
-# Author-Info
-__author__ = "Baptiste Bauvin"
-__status__ = "Prototype"  # Production, Development, Prototype
-
-classifier_class_name = "SVMRBF"
-
-
-class LWLRClassifier(LWLRLearner, BaseMonoviewClassifier):
-    """
-    This class is an adaptation of scikit-learn's `SVC <https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html>`_
-
-    Here, it is the RBF kernel version
-    """
-
-    def __init__(self, random_state=None, sigma="auto", nn=1.0, **kwargs):
-        LWLRLearner.__init__(self,
-                               C=C,
-                               kernel='rbf',
-                               gamma=gamma,
-                               random_state=random_state
-                               )
-        self.param_names = ["C", 'gamma', "random_state"]
-        self.distribs = [CustomUniform(loc=1e-3, state=1e3), CustomUniform(loc=1e-1, state=1e1),  [random_state]]
+# from learners.algorithms.lwlr import LWLRLearner
+#
+# from ..monoview.monoview_utils import BaseMonoviewClassifier
+# from summit.multiview_platform.utils.hyper_parameter_search import CustomUniform
+#
+# # Author-Info
+# __author__ = "Baptiste Bauvin"
+# __status__ = "Prototype"  # Production, Development, Prototype
+#
+# classifier_class_name = "SVMRBF"
+#
+#
+# class LWLRClassifier(LWLRLearner, BaseMonoviewClassifier):
+#     """
+#     This class is an adaptation of scikit-learn's `SVC <https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html>`_
+#
+#     Here, it is the RBF kernel version
+#     """
+#
+#     def __init__(self, random_state=None, sigma="auto", nn=1.0, **kwargs):
+#         LWLRLearner.__init__(self,
+#                                C=C,
+#                                kernel='rbf',
+#                                gamma=gamma,
+#                                random_state=random_state
+#                                )
+#         self.param_names = ["C", 'gamma', "random_state"]
+#         self.distribs = [CustomUniform(loc=1e-3, state=1e3), CustomUniform(loc=1e-1, state=1e1),  [random_state]]