class_docstr: A collection of parameters, metrics, and artifacts to create a ML model.
class_docstr_tok: ["A","collection","of","parameters",",","metrics",",","and","artifacts","to","create","a","ML","model","."]
docstr: Record a single parameter value for this run.
  
  Overwrites any previous value recorded for the specified parameter name.
  
  Args:
      name (str): The name of the parameter.
      value (str or int or float): The value of the parameter.
docstr_tok: ["Record","a","single","parameter","value","for","this","run",".","Overwrites","any","previous","value","recorded","for","the","specified","parameter","name",".","Args",":","name","(","str",")",":","The","name","of","the","parameter",".","value","(","str","or","int","or","float",")",":","The","value","of","the","parameter","."]
code: def log_parameter(self, name: str, value: Union[str, int, float]):
      """Record a single parameter value for this run.
  
      Overwrites any previous value recorded for the specified parameter name.
  
      Args:
          name (str): The name of the parameter.
          value (str or int or float): The value of the parameter.
      """
      if self._is_input_valid("parameter", name, value):
          self._trial_component.parameters[name] = value
  
imports: from __future__ import absolute_import
  import datetime
  import logging
  from enum import Enum
  from math import isnan, isinf
  from numbers import Number
  from typing import Optional, List, Dict, TYPE_CHECKING, Union
  import dateutil
  from numpy import array
  from sagemaker.apiutils import _utils
  from sagemaker.experiments import _api_types
  from sagemaker.experiments._api_types import TrialComponentArtifact, _TrialComponentStatusType
  from sagemaker.experiments._helper import _ArtifactUploader, _LineageArtifactTracker, _DEFAULT_ARTIFACT_PREFIX
  from sagemaker.experiments._environment import _RunEnvironment
  from sagemaker.experiments._run_context import _RunContext
  from sagemaker.experiments.experiment import Experiment
  from sagemaker.experiments._metrics import _MetricsManager
  from sagemaker.experiments.trial import _Trial
  from sagemaker.experiments.trial_component import _TrialComponent
  from sagemaker.utils import get_module, unique_name_from_base, format_tags, Tags, TagsDict
  from sagemaker.experiments._utils import guess_media_type, resolve_artifact_name, verify_length_of_true_and_predicted, validate_invoked_inside_run_context, get_tc_and_exp_config_from_job_env, verify_load_input_names, is_run_trial_component
label_desc: Use image node_id 3 for calling the Run obj's underlying member method code with example usage: obj.log_parameter(name, value) without return types