class_docstr: Experiment object.
class_docstr_tok: ["Experiment","object","."]
code: def __init__(
      self,
      experiment_id,
      name,
      artifact_location,
      lifecycle_stage,
      tags=None,
      creation_time=None,
      last_update_time=None,
  ):
      super().__init__()
      self._experiment_id = experiment_id
      self._name = name
      self._artifact_location = artifact_location
      self._lifecycle_stage = lifecycle_stage
      self._tags = {tag.key: tag.value for tag in (tags or [])}
      self._creation_time = creation_time
      self._last_update_time = last_update_time
  
file_path: mlflow/mlflow/entities/experiment.py
imports: from mlflow.entities._mlflow_object import _MLflowObject
  from mlflow.entities.experiment_tag import ExperimentTag
  from mlflow.protos.service_pb2 import Experiment
  from mlflow.protos.service_pb2 import ExperimentTag
label_desc: Use image node_id 1 to create a new Experiment object from inherited base classes: _MLflowObject with example: obj = Experiment(experiment_id, name, artifact_location, lifecycle_stage, tags, creation_time, last_update_time)