Now we will create a pipeline to transform the complete dataset.
Import Pipeline from Scikit-learn:
from sklearn.pipeline import << your code goes here >>
Next, we will create the pipeline with the transformers that we created earlier:
preprocess_pipeline = Pipeline([
("email_to_wordcount", << your code goes here >>()),
("wordcount_to_vector", << your code goes here >>()),
])
Finally, we will use fit_transform() to transform the dataset:
X_train_transformed = preprocess_pipeline.<< your code goes here >>(X_train)
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