Hi All
I have trained my model with a csv file containing 10000 examples.
Currently I have decide to use my saved model with joblib in a web site.
So I have just one input and after passing this input to the model it
should assign a probability to test example.
data = list(csv.DictReader(open('data.csv', 'rU')))
vec = DictVectorizer()
data= vec.fit_transform(data).toarray()
new_example=vec.fit_transform({in dictionary form})
clf2 = joblib.load('SavedModel.pkl')
print(clf2.predict(my_sample))
the input has 13 string features but the error says it must be 494.
I think it must be something relevant to string to numerical.
Could you please tell me how should I pass my new example to the saved
model?
Best
Kaveh
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