class_docstr: ```
  Abstract class used to tune and train Keras models. The fit method is
  an abstract method and must be implemented by subclasses.
  ```
class_docstr_tok: ["``","`","Abstract","class","used","to","tune","and","train","Keras","models",".","The","fit","method","is","an","abstract","method","and","must","be","implemented","by","subclasses",".","``","`"]
docstr: ```
  Get current weight decay rate
  ```
docstr_tok: ["``","`","Get","current","weight","decay","rate","``","`"]
code: def get_weight_decay(self):
      """
      ```
      Get current weight decay rate
      ```
      """
      if type(self.model.optimizer).__name__ == "AdamWeightDecay":
          return self.model.optimizer.weight_decay_rate
      else:
          return None
  
imports: from .None import utils
  from .graph.predictor import LinkPredictor, NodePredictor
  from .graph.preprocessor import LinkPreprocessor, NodePreprocessor
  from .imports import *
  from .lroptimize.lrfinder import *
  from .tabular.predictor import TabularPredictor
  from .tabular.preprocessor import TabularPreprocessor
  from .text.ner.predictor import NERPredictor
  from .text.ner.preprocessor import NERPreprocessor
  from .text.predictor import TextPredictor
  from .text.preprocessor import BERTPreprocessor, TextPreprocessor, TransformersPreprocessor
  from .vision.predictor import ImagePredictor
  from .vision.preprocessor import ImagePreprocessor
label_desc: Use image node_id 3 for calling the Learner obj's underlying member method code with example usage: obj.get_weight_decay() and returns: self, None