class_docstr: base class for classfication 
code: def __init__(self, config):
      super().__init__(config)
  
      saver_conf = config["solver"]["saver"]
      self.eval_path = os.path.join(saver_conf["model_path"], "eval")
      if not os.path.exists(self.eval_path):
          os.makedirs(self.eval_path)
      self.eval_metrics_path = os.path.join(
          self.eval_path, "metrics.txt"
      )
  
imports: import os
  import re
  import functools
  import collections
  from absl import logging
  import delta.compat
  from tensorflow.python import debug
  from tensorflow.python.estimator.canned import metric_keys
  from tensorboard.plugins.pr_curve import summary
  from delta import utils
  from delta.utils.hparam import HParams
  from delta.utils import metrics
  from delta.utils import summary
  from delta.utils.register import registers
  from delta.utils.solver.base_solver import ABCEstimatorSolver
label_desc: Use image node_id 1 to create a new EstimatorSolver object from inherited base classes: ABCEstimatorSolver with example: obj = EstimatorSolver(config)