class_docstr: Estimator class for training and evaluation BigDL models.
  
  Estimator wraps a model, and provide an uniform training, evaluation or prediction operation on
  both local host and distributed spark environment.
class_docstr_tok: ["Estimator","class","for","training","and","evaluation","BigDL","models",".","Estimator","wraps","a","model",",","and","provide","an","uniform","training",",","evaluation","or","prediction","operation","on","both","local","host","and","distributed","spark","environment","."]
docstr: Evaluate the model on the validationSet with the validationMethods.
  :param validation_set: validation FeatureSet, a FeatureSet[Sample[T]]
  :param validation_method: validation methods
  :param batch_size: batch size
  :return: validation results
docstr_tok: ["Evaluate","the","model","on","the","validationSet","with","the","validationMethods",".",":","param","validation_set",":","validation","FeatureSet",",","a","FeatureSet","[","Sample","[","T","]","]",":","param","validation_method",":","validation","methods",":","param","batch_size",":","batch","size",":","return",":","validation","results"]
code: def evaluate_imagefeature(
      self, validation_set, validation_method, batch_size=32
  ):
      """
      Evaluate the model on the validationSet with the validationMethods.
      :param validation_set: validation FeatureSet, a FeatureSet[Sample[T]]
      :param validation_method: validation methods
      :param batch_size: batch size
      :return: validation results
      """
      return callZooFunc(
          self.bigdl_type,
          "estimatorEvaluateImageFeature",
          self.value,
          validation_set,
          validation_method,
          batch_size,
      )
  
file_path: BigDL/python/dllib/src/bigdl/dllib/estimator/estimator.py
imports: from bigdl.dllib.utils.common import JavaValue
  from bigdl.dllib.utils.file_utils import callZooFunc
  from bigdl.dllib.utils.log4Error import *
label_desc: Use image node_id 12 for calling the Estimator obj's underlying member method code with example usage: obj.evaluate_imagefeature(validation_set, validation_method, batch_size) and returns: callZooFunc