prediction on normalized data

[filipposkar]

I have just finished this section:
Neural network regression with TensorFlow > Preprocessing data with feature scaling part 3 (fitting a model on scaled data): https://academy.zerotomastery.io/courses/1240775/lectures/30332124
We have trained the insurance model on normalized data.
Say that I want to make a prediction for this item:
[age:19, sex:female, bmi:27.900, children:0, smoker:yes, region:southwest]
I have to convert the above vector to normalized one.
How do I do this?
THANKS

[filipposkar]

ok i got this answer from Andrei Neagoie that worked fine.

So basically first you need to convert the text into one hot vectors and then normalise it. 2 things to note here, The order of columns in train and test should be the same. Second, When normalising ensure that you are transforming your features based on what you fit to the training data.