class_docstr: Container for a graph model.
  
  # Arguments
  input: An input node or a list of input nodes.
  output: An output node or a list of output nodes.
  name: String to specify the name of the graph model. Default is None.
  
  .. note:: `bigdl.dllib.keras` is deprecated in 0.11.
  This will be removed in future releases.
class_docstr_tok: ["Container","for","a","graph","model",".","#","Arguments","input",":","An","input","node","or","a","list","of","input","nodes",".","output",":","An","output","node","or","a","list","of","output","nodes",".","name",":","String","to","specify","the","name","of","the","graph","model",".","Default","is","None",".","..","note",":",":","`","bigdl.dllib.keras","`","is","deprecated","in","0.11",".","This","will","be","removed","in","future","releases","."]
docstr: Create a Python Model base on the given java value
  :param jvalue: Java object create by Py4j
  :return: A Python Model
docstr_tok: ["Create","a","Python","Model","base","on","the","given","java","value",":","param","jvalue",":","Java","object","create","by","Py4j",":","return",":","A","Python","Model"]
code: def from_jvalue(jvalue, bigdl_type="float"):
      """
      Create a Python Model base on the given java value
      :param jvalue: Java object create by Py4j
      :return: A Python Model
      """
      model = Model([], [], jvalue=jvalue)
      model.value = jvalue
      return model
  
imports: from bigdl.dllib.nn.keras.layers.layer import KerasLayer
  from bigdl.dllib.optim.optimizer import *
  from bigdl.dllib.nn.criterion import *
  from bigdl.dllib.utils.log4Error import *
  import multiprocessing
  import warnings
  from bigdl.dllib.nn.layer import SharedStaticUtils, Container
label_desc: Use image node_id 2 for calling the Model obj's underlying member method code with example usage: obj.from_jvalue(jvalue, bigdl_type) and returns: model