Saving Spark's MLlib model using Kedro data catalog Consider the model that is trained in this exemple at Kedro's documentation from typing import Any, Dict from kedro.pipeline import node, pipeline from pyspark.ml.classification import RandomForestClassifier from pyspark.sql import DataFrame def train_model(training_data: DataFrame) -> RandomForestClassifier: """Node for training a random forest model to classify the...