Exporting preprocessing alongside model?

nemo

Hi, I am currently trying to export and deploy an ML model (LGBM) created and trained in DataIku to GitHub. It works just fine, but I'm not sure how to for the preprocessor of the model onto my validation dataset. I've tried searching online and have noticed there being some preprocessing functionality in the dataiku-scoring package used for the model, but can't manage to figure out how to preprocess and deploy. Every time I try preprocessing, when predicting on the transformed data an error is thrown mentioning that the model expects the same number of columns as the original dataset before any transformations have occurred. Does preprocessing happen within the .predict() function of the model, or am I missing something.

Here's an example of the Python code I am trying (and failing with):

X_numeric, X_nonumeric = lgbm_model.prepare_input.process(X_test)
preprocessed = lgbm_model.preprocessings.process(X_numeric, X_nonumeric)
lgbm_model.predict(preprocessed)

…

ValueError: Invalid input size, got n_columns=1031 instead of 55.

Any help would be greatly appreciated!