class_docstr: Wrapper to load datasets found in the Numenta Anomaly Benchmark
  (https://github.com/numenta/NAB).
  
  The NAB contains a range of datasets and are categorized by their domains.
class_docstr_tok: ["Wrapper","to","load","datasets","found","in","the","Numenta","Anomaly","Benchmark","(","https",":","\/\/github.com\/numenta\/NAB",")",".","The","NAB","contains","a","range","of","datasets","and","are","categorized","by","their","domains","."]
docstr: The anomalies in the NAB dataset are already windows which permit early
  detection. So we explicitly disallow any earlier detection.
docstr_tok: ["The","anomalies","in","the","NAB","dataset","are","already","windows","which","permit","early","detection",".","So","we","explicitly","disallow","any","earlier","detection","."]
code: def max_lead_sec(self):
      """
      The anomalies in the NAB dataset are already windows which permit early
      detection. So we explicitly disallow any earlier detection.
      """
      return 0
  
file_path: merlion/ts_datasets/ts_datasets/anomaly/nab.py
imports: import datetime
  import glob
  import json
  import logging
  import os
  import re
  import requests
  import numpy
  import pandas
  import tqdm
  from ts_datasets.anomaly.base import TSADBaseDataset
label_desc: Use image node_id 3 for calling the NAB obj's underlying member method code with example usage: obj.max_lead_sec() and returns: int