[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify the code snippets into categories from the provided list of categories. List of categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']"}, {'role': 'user', 'content': 'Identify to which category the provided code belongs and assign the code snippet to at least 1 but up to 5 categories based on the probabilities, ignore if the probability of the category is negligible. Strictly provide your response as a list. Avoid providing any additional information, commentary, or personal opinions.\\nPython Code:from pyspark import SparkContext, SparkConf\nfrom pyspark.sql import SparkSession\nfrom pyspark.sql import Row # for RDDs\nfrom IPython.display import display\nimport os\nconf = sc.getConf()\nif conf.get(\'spark.master\') == \'yarn\':\nprint("cloud")\nroot_path ="gs://josh-spark-jupyter-resources"\nelse:\nprint("local")\nroot_path = os.path.split(os.getcwd())[0] + "/resources"\njson_path = root_path + "/people.json"\ntxt_path = root_path + "/people.txt"\ndisplay(type(sc))\ndisplay(type(spark))\ndisplay(\'version:\', spark.version)\ndisplay(\'SPARK_HOME:\', os.environ[\'SPARK_HOME\'])'}, {'role': 'assistant', 'content': "['helper_functions']"}]