Added all models converters

Author: antoinecarme

__init__.py

@@ -0,0 +1,41 @@
+
+import sklearn
+from sklearn.tree import DecisionTreeClassifier
+from sklearn.neural_network import MLPClassifier
+from sklearn.linear_model import RidgeClassifier
+from sklearn.svm import SVC
+
+import converters.decison_tree_converter as tree_cvt
+import converters.ridge_converter as ridge_cvt
+import converters.svm_converter as svm_cvt
+import converters.mlp_converter as mlp_cvt
+
+def convert_model(clf):
+    print("CONVERT_MODEL ", clf.__class__)    
+    if(clf.__class__ == sklearn.tree._classes.DecisionTreeClassifier):
+        lConverter = tree_cvt.decision_tree_converter()
+        return lConverter.convert_classifier(clf)
+    if(clf.__class__ == sklearn.tree._classes.DecisionTreeRegressor):
+        lConverter = tree_cvt.decision_tree_converter()
+        return lConverter.convert_regressor(clf)
+    if(clf.__class__ == sklearn.svm._classes.SVC):
+        lConverter = svm_cvt.svm_converter()
+        return lConverter.convert_classifier(clf)
+    if(clf.__class__ == sklearn.svm._classes.SVR):
+        lConverter = svm_cvt.svm_converter()
+        return lConverter.convert_regressor(clf)
+    if(clf.__class__ == sklearn.linear_model._ridge.RidgeClassifier):
+        lConverter = ridge_cvt.ridge_converter()
+        return lConverter.convert_classifier(clf)
+    if(clf.__class__ == sklearn.linear_model._ridge.Ridge):
+        lConverter = ridge_cvt.ridge_converter()
+        return lConverter.convert_regressor(clf)
+    if(clf.__class__ == sklearn.neural_network._multilayer_perceptron.MLPClassifier):
+        lConverter = mlp_cvt.mlp_converter()
+        return lConverter.convert_classifier(clf)
+    if(clf.__class__ == sklearn.neural_network._multilayer_perceptron.MLPRegressor):
+        lConverter = mlp_cvt.mlp_converter()
+        return lConverter.convert_regressor(clf)
+    
+    print("WARNING_CANNOT_CONVERT_MODEL ", clf.__class__)    
+    return None

converters/generic_converter.py

@@ -0,0 +1,7 @@
+
+
+class json_converter:
+
+    def __init__(self):
+        pass
+