The Openscoring.deploy method throws exception "No Json Object could be decoded"

[gdhruv80]

Hey I was trying to use your openscoring-python library to score a simple PMML model infact the exact same model that you have developed in sklearn2pmml library (DecisionTreeIris.pmml). The final aim is to develop a PMML model in R and score it in python using your openscoring library. When I run the code its giving a error in the os.deploy line - No Json Object could be decoded
Could you please help on what is going on here? Thanks !! (Below is the attached code and I am using Jupytr notebook !)
import pandas

path='/projects/wakari/MT_SNAP_Eligibility/SNAP_Generic_Modules/Module_6_Generic_PMML_Creation/'
iris_df = pandas.read_csv(path + 'iris.csv',header=0)

from sklearn2pmml import PMMLPipeline
from sklearn.tree import DecisionTreeClassifier

iris_pipeline = PMMLPipeline([
("classifier", DecisionTreeClassifier())
])
iris_pipeline.fit(iris_df[iris_df.columns.difference(["Species"])], iris_df["Species"])

from sklearn2pmml import sklearn2pmml

sklearn2pmml(iris_pipeline, "DecisionTreeIris.pmml", with_repr = True)

import openscoring

os = openscoring.Openscoring("http://localhost:8080/openscoring")

kwargs = {"auth" : ("admin", "adminadmin")}

RUNS FINE TILL HERE

os.deploy("Iris", "DecisionTreeIris.pmml", **kwargs)

arguments = {
"Sepal_Length" : 5.1,
"Sepal_Width" : 3.5,
"Petal_Length" : 1.4,
"Petal_Width" : 0.2
}

result = os.evaluate("Iris", arguments)
print(result)

[vruusmann]

os = openscoring.Openscoring("http://localhost:8080/openscoring")
os.deploy("Iris", "DecisionTreeIris.pmml", **kwargs)

Is there an Openscoring REST web service listening on port 8080 of your computer?

You need to start the server first. Otherwise, the client has nowhere to connect to.

[gdhruv80]

Oh okay ! I am not so good with this any idea how I can do this? (If you could point me to a page with list of directions).

Thanks a lot !
Dhruv