code: def create(experiment_name, artifact_location):
      """
      Create an experiment.
  
      All artifacts generated by runs related to this experiment will be stored under artifact
      location, organized under specific run_id sub-directories.
  
      Implementation of experiment and metadata store is dependent on backend storage. ``FileStore``
      creates a folder for each experiment ID and stores metadata in ``meta.yaml``. Runs are stored
      as subfolders.
      """
      store = _get_store()
      exp_id = store.create_experiment(
          experiment_name, artifact_location
      )
      click.echo(
          f"Created experiment '{experiment_name}' with id {exp_id}"
      )
  
file_path: mlflow/mlflow/experiments.py
imports: import os
  import click
  import mlflow
  from mlflow.entities import ViewType
  from mlflow.tracking import _get_store, fluent
  from mlflow.utils.data_utils import is_uri
  from mlflow.utils.string_utils import _create_table
label_desc: Use image node_id 2 for calling a global function with example usage: create(experiment_name, artifact_location) without return types