class_docstr: This class is used for updating the value of β during the annealing process.
  When β reaches the value of anneal_cap, it stops increasing.
docstr: Returns a list of the beta values per epoch.
code: def get_data(self):
      """Returns a list of the beta values per epoch."""
      return self._beta
  
imports: import numpy
  import matplotlib.pyplot
  import seaborn
  import tensorflow
  from tensorflow.keras.layers import *
  from tensorflow.keras.models import Model
  from tensorflow.keras.losses import binary_crossentropy
  from tensorflow.keras import backend
  from tensorflow.keras.callbacks import ReduceLROnPlateau, Callback
  from recommenders.evaluation.python_evaluation import ndcg_at_k
label_desc: Use image node_id 5 for calling the AnnealingCallback obj's underlying member method code with example usage: obj.get_data() and returns: self