Spark, Distributed Systems, Machine Learning, Hadoop, Scalability.
model is known as ML pipeline. Pipeline() contains the input and output stages in sequence. For instance, Tokenizer →Count Vectorizer → Logistic Regression pipeline sequence can be coded as, Thus, the training data is fed into tokenizer first, then to CV and then to LR. To test the model, call the