Merge pull request #678 from gsunner/jsondata-example

scikit learn iris model using jsondata example

examples/models/sklearn_iris_jsondata/.s2i/environment

@@ -0,0 +1,4 @@
+MODEL_NAME=IrisClassifier
+API_TYPE=REST
+SERVICE_TYPE=MODEL
+PERSISTENCE=0

examples/models/sklearn_iris_jsondata/IrisClassifier.py

@@ -0,0 +1,19 @@
+from sklearn.externals import joblib
+import sys
+
+def eprint(*args, **kwargs):
+    print(*args, file=sys.stderr, **kwargs)
+
+class IrisClassifier(object):
+
+    def __init__(self):
+        self.model = joblib.load('IrisClassifier.sav')
+
+    def predict(self,X,features_names):
+        eprint("--------------------")
+        eprint("Input dict")
+        eprint(X)
+        eprint("--------------------")
+        ndarray = X["some_data"]["some_ndarray"]
+        return self.model.predict_proba(ndarray)
+

examples/models/sklearn_iris_jsondata/requirements.txt

@@ -0,0 +1,2 @@
+scikit-learn==0.19.0
+scipy==0.18.1