docstr: Function to update learning rate
  
  Parameters
  ----------
  lr: float32
      Old learning rate
  
  Returns
  -------
  lr: float32
      New learning rate
docstr_tok: ["Function","to","update","learning","rate","Parameters","--","--","--","--","--","lr",":","float32","Old","learning","rate","Returns","--","--","--","-","lr",":","float32","New","learning","rate"]
code: def set_learning_rate(self, lr):
      """
      Function to update learning rate
  
      Parameters
      ----------
      lr: float32
          Old learning rate
  
      Returns
      -------
      lr: float32
          New learning rate
      """
      return lr
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import numpy
  from .._tf_model import TensorFlowModel
  from turicreate._deps.minimal_package import _minimal_package_import_check
  import turicreate.toolkits._tf_utils
label_desc: Use image node_id 12 for calling the ODTensorFlowModel obj's underlying member method code with example usage: obj.set_learning_rate(lr) and returns: lr