class_docstr: Class for generating random data for Pearson Correlation metric benchmarking 
class_docstr_tok: ["Class","for","generating","random","data","for","Pearson","Correlation","metric","benchmarking"]
code: def __init__(self, n, c, pred_ctx, label_ctx):
      super(PearsonMetricDataGen, self).__init__(
          n, c, pred_ctx, label_ctx
      )
  
file_path: mxnet/benchmark/python/metric/benchmark_metric.py
imports: from __future__ import print_function
  import itertools
  import mxnet
  import sys
  import time
label_desc: Use image node_id 1 to create a new PearsonMetricDataGen object from inherited base classes: MetricDataGen with example: obj = PearsonMetricDataGen(n, c, pred_ctx, label_ctx)