code: def name(self):
      return "evaluate"
  
imports: import datetime
  import logging
  import operator
  import os
  import sys
  import warnings
  from collections import namedtuple
  from pathlib import Path
  from typing import Any, Dict
  import mlflow
  from mlflow.exceptions import MlflowException
  from mlflow.protos.databricks_pb2 import INVALID_PARAMETER_VALUE
  from mlflow.recipes.cards import BaseCard
  from mlflow.recipes.step import BaseStep, StepClass
  from mlflow.recipes.steps.train import TrainStep
  from mlflow.recipes.utils.execution import get_step_output_path
  from mlflow.recipes.utils.metrics import _get_builtin_metrics, _get_custom_metrics, _get_extended_task, _get_model_type_from_template, _get_primary_metric, _load_custom_metrics, transform_multiclass_metric
  from mlflow.recipes.utils.step import get_merged_eval_metrics, validate_classification_config
  from mlflow.recipes.utils.tracking import TrackingConfig, apply_recipe_tracking_config, get_recipe_tracking_config, get_run_tags_env_vars
  from mlflow.tracking.fluent import _get_experiment_id, _set_experiment_primary_metric
  from mlflow.utils.databricks_utils import get_databricks_env_vars, get_databricks_run_url
  from mlflow.utils.string_utils import strip_prefix
label_desc: Use image node_id 9 for calling the EvaluateStep obj's underlying member method code with example usage: obj.name() and returns: str