class_docstr: Fetch trial component data and make them accessible for analytics.
docstr: Reshape trial component parameters to a pandas column.
  
  Args:
      parameters: trial component parameters
  Returns:
      dict: Key: Parameter name, Value: Parameter value
docstr_tok: ["Reshape","trial","component","parameters","to","a","pandas","column",".","Args",":","parameters",":","trial","component","parameters","Returns",":","dict",":","Key",":","Parameter","name",",","Value",":","Parameter","value"]
code: def _reshape_parameters(self, parameters):
      """Reshape trial component parameters to a pandas column.
  
      Args:
          parameters: trial component parameters
      Returns:
          dict: Key: Parameter name, Value: Parameter value
      """
      out = OrderedDict()
      for name, value in sorted(parameters.items()):
          if (
              self._parameter_names
              and name not in self._parameter_names
          ):
              continue
          out[name] = value.get("NumberValue", value.get("StringValue"))
      return out
  
imports: from __future__ import print_function, absolute_import
  from abc import ABCMeta, abstractmethod
  from collections import defaultdict, OrderedDict
  import datetime
  import logging
  from six import with_metaclass
  from sagemaker.session import Session
  from sagemaker.utils import DeferredError
  from sagemaker.lineage import artifact
label_desc: Use image node_id 5 for calling the ExperimentAnalytics obj's underlying member method code with example usage: obj._reshape_parameters(parameters) and returns: out