docstr: Add metric specific arguments
docstr_tok: ["Add","metric","specific","arguments"]
code: def add_arguments(
      cls, parser: argparse.ArgumentParser
  ) -> argparse.ArgumentParser:
      """Add metric specific arguments"""
      if cls == ProbabilityHistogramMetric:
          parser.add_argument(
              "--stats.metrics.prob-hist.num-bins", type=int, default=10
          )
      return parser
  
file_path: ml-cvnets/metrics/probability_histograms.py
imports: import argparse
  from numbers import Number
  from typing import Dict, Union
  import numpy
  from torch import Tensor
  from torch.nn import functional
  from metrics import METRICS_REGISTRY
  from metrics.metric_base import EpochMetric
  from utils import logger
label_desc: Use image node_id 2 for calling the ProbabilityHistogramMetric obj's underlying member method code with example usage: obj.add_arguments(cls, parser) and returns: parser