class_docstr: An Amazon SageMaker experiment, which is a collection of related trials.
  
  New experiments are created by calling `experiments.experiment.Experiment.create`.
  Existing experiments can be reloaded by calling `experiments.experiment.Experiment.load`.
  
  Attributes:
      experiment_name (str): The name of the experiment. The name must be unique
          within an account.
      display_name (str): Name of the experiment that will appear in UI,
          such as SageMaker Studio.
      description (str): A description of the experiment.
      tags (List[Dict[str, str]]): A list of tags to associate with the experiment.
docstr: Create a new experiment in SageMaker and return an `Experiment` object.
  
  Args:
      experiment_name: (str): Name of the experiment. Must be unique. Required.
      display_name: (str): Name of the experiment that will appear in UI,
          such as SageMaker Studio (default: None).
      description: (str): Description of the experiment (default: None).
      sagemaker_session (sagemaker.session.Session): Session object which
          manages interactions with Amazon SageMaker APIs and any other
          AWS services needed. If not specified, one is created using the
          default AWS configuration chain.
      tags (Optional[Tags]): A list of tags to associate with the experiment
          (default: None).
  
  Returns:
      experiments.experiment.Experiment: A SageMaker `Experiment` object
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code: def create(
      cls,
      experiment_name,
      display_name=None,
      description=None,
      tags=None,
      sagemaker_session=None,
  ):
      """Create a new experiment in SageMaker and return an `Experiment` object.
  
      Args:
          experiment_name: (str): Name of the experiment. Must be unique. Required.
          display_name: (str): Name of the experiment that will appear in UI,
              such as SageMaker Studio (default: None).
          description: (str): Description of the experiment (default: None).
          sagemaker_session (sagemaker.session.Session): Session object which
              manages interactions with Amazon SageMaker APIs and any other
              AWS services needed. If not specified, one is created using the
              default AWS configuration chain.
          tags (Optional[Tags]): A list of tags to associate with the experiment
              (default: None).
  
      Returns:
          experiments.experiment.Experiment: A SageMaker `Experiment` object
      """
      return cls._construct(
          cls._boto_create_method,
          experiment_name=experiment_name,
          display_name=display_name,
          description=description,
          tags=format_tags(tags),
          sagemaker_session=sagemaker_session,
      )
  
file_path: sagemaker-python-sdk/src/sagemaker/experiments/experiment.py
imports: from __future__ import absolute_import
  import time
  from botocore.exceptions import ClientError
  from sagemaker.apiutils import _base_types
  from sagemaker.experiments.trial import _Trial
  from sagemaker.experiments.trial_component import _TrialComponent
  from sagemaker.utils import format_tags
label_desc: Use image node_id 4 for calling the Experiment obj's underlying member method code with example usage: obj.create(cls, experiment_name, display_name, description, tags, sagemaker_session) and returns: cls