class_docstr: Loss calculated as: K.mean(y_pred - y_true * K.log(y_pred + K.epsilon()), axis=-1)
  
  >>> loss = Poisson()
  creating: createZooKerasPoisson
class_docstr_tok: ["Loss","calculated","as",":","K.mean","(","y_pred","-","y_true","*","K.log","(","y_pred","+","K.epsilon","(",")",")",",","axis=-1",")",">",">",">","loss","=","Poisson","(",")","creating",":","createZooKerasPoisson"]
code: def __init__(self, bigdl_type="float"):
      super(Poisson, self).__init__(None, bigdl_type)
  
imports: import sys
  from zoo.pipeline.api.keras.base import ZooKerasCreator
  from bigdl.nn.criterion import Criterion
  from bigdl.util.common import JTensor
label_desc: Use image node_id 1 to create a new Poisson object from inherited base classes: LossFunction with example: obj = Poisson(bigdl_type)