code: def __init__(self, transformer, classifier):
      self.transformer = transformer
      self.classifier = classifier
  
imports: import warnings
  from pprint import pprint
  import numpy
  from sklearn import set_config
  from sklearn.base import BaseEstimator, ClassifierMixin, MetaEstimatorMixin, RegressorMixin, TransformerMixin, clone
  from sklearn.linear_model import LinearRegression
  from sklearn.utils import metadata_routing
  from sklearn.utils.metadata_routing import MetadataRouter, MethodMapping, get_routing_for_object, process_routing
  from sklearn.utils.validation import check_is_fitted
label_desc: Use image node_id 1 to create a new SimplePipeline object from inherited base classes: ClassifierMixin, BaseEstimator with example: obj = SimplePipeline(transformer, classifier)