class_docstr: Container holding a list of metrics.
  
  Parameters
  ----------
  metric_names : list of str
      List of metric names.
  prefix : str
      Prefix of metric names.
class_docstr_tok: ["Container","holding","a","list","of","metrics",".","Parameters","--","--","--","--","--","metric_names",":","list","of","str","List","of","metric","names",".","prefix",":","str","Prefix","of","metric","names","."]
code: def __post_init__(self):
      self.metrics = Metric.get_metrics_by_names(self.metric_names)
      self.names = [self.prefix + name for name in self.metric_names]
  
imports: from dataclasses import dataclass
  from typing import List
  import numpy
  from sklearn.metrics import roc_auc_score, mean_squared_error, mean_absolute_error, accuracy_score, log_loss, balanced_accuracy_score, mean_squared_log_error
  import torch
label_desc: Use image node_id 1 for calling the MetricContainer obj's underlying member method code with example usage: obj.__post_init__() without return types