class_docstr: A pipeline model that exposes a sequence of models as a single model,
  It requires a set of inputs, a sequence of other models and a set of outputs.
  
  This class is the base class for :py:class:`PipelineClassifier` and
  :py:class:`PipelineRegressor`, which contain a sequence ending in a classifier
  or regressor and themselves behave like a classifier or regressor.  This class
  may be used directly for a sequence of feature transformer objects.
class_docstr_tok: ["A","pipeline","model","that","exposes","a","sequence","of","models","as","a","single","model",",","It","requires","a","set","of","inputs",",","a","sequence","of","other","models","and","a","set","of","outputs",".","This","class","is","the","base","class","for",":","py",":","class",":","`","PipelineClassifier","`","and",":","py",":","class",":","`","PipelineRegressor","`",",","which","contain","a","sequence","ending","in","a","classifier","or","regressor","and","themselves","behave","like","a","classifier","or","regressor",".","This","class","may","be","used","directly","for","a","sequence","of","feature","transformer","objects","."]
code: def make_updatable(self):
      self._validate_sub_models_and_make_updatable(
          self.spec.pipeline, self.spec
      )
  
imports: from ..None import SPECIFICATION_VERSION
  from ..proto import Model_pb2
  from .None import _feature_management
  from .None import model
  from ._interface_management import set_classifier_interface_params, set_regressor_interface_params, set_training_features, set_transform_interface_params
label_desc: Use image node_id 5 for calling the Pipeline obj's underlying member method code with example usage: obj.make_updatable() without return types