class_docstr: Creates a sequence of labeled points from provided numpy arrays.
class_docstr_tok: ["Creates","a","sequence","of","labeled","points","from","provided","numpy","arrays","."]
code: def __len__(self):
      return int(np.ceil(len(self.features) / self.batch_size))
  
file_path: probability/tensorflow_probability/examples/logistic_regression.py
imports: import os
  from absl import app
  from absl import flags
  from matplotlib import cm
  from matplotlib import figure
  from matplotlib.backends import backend_agg
  import numpy
  import tensorflow.compat.v2
  import tensorflow_probability
  from tensorflow_probability.python.internal import tf_keras
label_desc: Use image node_id 2 for calling the ToyDataSequence obj's underlying member method code with example usage: obj.__len__() and returns: int