class_docstr: An implementation of Adagrad. See the original paper:
  http://jmlr.org/papers/volume12/duchi11a/duchi11a.pdf
  
  :param learningrate learning rate
  :param learningrate_decay learning rate decay
  :param weightdecay weight decay
  >>> adagrad = Adagrad()
  creating: createAdagrad
class_docstr_tok: ["An","implementation","of","Adagrad",".","See","the","original","paper",":","http",":","\/\/jmlr.org\/papers\/volume12\/duchi11a\/duchi11a.pdf",":","param","learningrate","learning","rate",":","param","learningrate_decay","learning","rate","decay",":","param","weightdecay","weight","decay",">",">",">","adagrad","=","Adagrad","(",")","creating",":","createAdagrad"]
code: def get_optimizer(self) -> "optimizer.Adagrad":
      return self.optimizer
  
imports: from abc import ABC, abstractmethod
  from bigdl.dllib.utils.common import DOUBLEMAX
  from bigdl.orca.learn.optimizers.schedule import Scheduler
  from bigdl.dllib.utils.log4Error import invalidInputError
  from typing import Any, Optional, Dict, TYPE_CHECKING
label_desc: Use image node_id 2 for calling the Adagrad obj's underlying member method code with example usage: obj.get_optimizer() and returns: self