code: def search_experiments(view):
      """
      Search for experiments in the configured tracking server.
      """
      view_type = (
          ViewType.from_string(view) if view else ViewType.ACTIVE_ONLY
      )
      experiments = mlflow.search_experiments(view_type=view_type)
      table = [
          [
              exp.experiment_id,
              exp.name,
              exp.artifact_location
              if is_uri(exp.artifact_location)
              else os.path.abspath(exp.artifact_location),
          ]
          for exp in experiments
      ]
      click.echo(
          _create_table(
              sorted(table),
              headers=["Experiment Id", "Name", "Artifact Location"],
          )
      )
  
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 3 for calling a global function with example usage: search_experiments(view) without return types