title: How to use a saved neural network on new data after standardization
body: <p>I have built and trained a neural network with TensorFlow and Keras that works pretty well for my data.
  Before I used the data, I standardized it with the StandardScale() from sklearn.
  I fit_transform() the training data and only transform() the test and validation data.</p>
  <p>In the end, I saved my model.</p>
  <p>Now I want to use the model for new data.
  I guess I need to transform() this data as well, but how do I do it?</p>
  <p>My data was transformed with all parameters from the fit_transform() function for the training dataset.
  If I used fit_transform() in my new data, I would get worse results than transforming them the same way I did the validation and test data.</p>
  <p>Is there a way to store the information from the fit_transform() function to use it later when I load my saved model? So I would get a new data set, transformed liked the test and validation data?</p>