code: def __str__(self) -> str:
      line = "mean squared error: {:.4f} - mean absolute error: {:.4f} - pearson: {:.4f} - spearman: {:.4f}".format(
          self.mean_squared_error(),
          self.mean_absolute_error(),
          self.pearsonr(),
          self.spearmanr(),
      )
      return line
  
imports: import logging
  import random
  import sys
  from collections import defaultdict
  from enum import Enum
  from functools import reduce
  from math import inf
  from pathlib import Path
  from typing import Dict, List, Optional, Union
  from scipy.stats import pearsonr, spearmanr
  from sklearn.metrics import mean_absolute_error, mean_squared_error
  from torch.optim import Optimizer
  from torch.utils.data import Dataset
  import flair
  from flair.data import DT, Dictionary, Sentence, _iter_dataset
label_desc: Use image node_id 10 for calling the MetricRegression obj's underlying member method code with example usage: obj.__str__() and returns: line