Machine Learning, Data Science, Testing, Software Engineering.
joblib.load(“column_transformer.joblib”) Next, we’ll create an XGBClassifier model: model = XGBClassifier() And combine it with the transformer to create a single pipeline: pipeline = Pipeline(steps=[ (“preprocessor”, transformer), (“model”, model) ]) Next, we’ll fit the pipeline to the training