code: def __init__(self, estimator):
      self._estimator = estimator
  
imports: import copy
  import warnings
  from collections import Counter
  from functools import partial
  from inspect import signature
  from traceback import format_exc
  import numpy
  from ..base import is_regressor
  from ..utils import Bunch
  from ..utils._param_validation import HasMethods, StrOptions, validate_params
  from ..utils._response import _get_response_values
  from ..utils.metadata_routing import MetadataRequest, MetadataRouter, _MetadataRequester, _routing_enabled, get_routing_for_object, process_routing
  from ..utils.multiclass import type_of_target
  from .None import accuracy_score, average_precision_score, balanced_accuracy_score, brier_score_loss, class_likelihood_ratios, explained_variance_score, f1_score, jaccard_score, log_loss, matthews_corrcoef, max_error, mean_absolute_error, mean_absolute_percentage_error, mean_gamma_deviance, mean_poisson_deviance, mean_squared_error, mean_squared_log_error, median_absolute_error, precision_score, r2_score, recall_score, roc_auc_score, top_k_accuracy_score
  from .cluster import adjusted_mutual_info_score, adjusted_rand_score, completeness_score, fowlkes_mallows_score, homogeneity_score, mutual_info_score, normalized_mutual_info_score, rand_score, v_measure_score
label_desc: Use image node_id 1 to create a new _PassthroughScorer object  with example: obj = _PassthroughScorer(estimator)