python from pyspark.sql import SparkSession import tensorflow as tf spark = SparkSession.builder \ .appName("PySpark TensorFlow Integration") \ .getOrCreate() data = spark.read.csv("data.csv", header=True, inferSchema=True) # ... def create_model(): model = tf.keras.models.Sequential([ tf.keras.layers.Dense(64, activation='relu'), tf.keras.layers.Dense(10, activation='softmax') ]) # ... model = create_model() # ... # ... model.save("model.h5") spark.stop()