class_docstr: The base optimizer class. Sets the rules to update weights
  when training a neural network.
class_docstr_tok: ["The","base","optimizer","class",".","Sets","the","rules","to","update","weights","when","training","a","neural","network","."]
docstr: Sets the learning rate.
          
code: def learning_rate(self, value):
      """Sets the learning rate."""
      self._internal.set_learning_rate(value)
  
imports: import neoml.PythonWrapper
label_desc: Use image node_id 5 for calling the Solver obj's underlying member method code with example usage: obj.learning_rate(value) without return types