code: def __init__(self):
      self.n_training_tasks = int(n_tasks * 0.8)
      self.batch_size = 10
      self.batch_start = [0] * n_tasks
      self.set_task_index(0)
      self.w1 = tf.Variable(
          np.random.normal(size=[n_features, 1000], scale=0.02),
          dtype=tf.float32,
      )
      self.w2 = tf.Variable(
          np.random.normal(size=[1000, 1], scale=0.02), dtype=tf.float32
      )
      self.b1 = tf.Variable(np.ones(1000), dtype=tf.float32)
      self.b2 = tf.Variable(np.zeros(1), dtype=tf.float32)
  
file_path: deepchem/examples/low_data/toxcast_maml.py
imports: from __future__ import print_function
  import deepchem
  import numpy
  import tensorflow
  from sklearn.metrics import accuracy_score
label_desc: Use image node_id 1 to create a new ToxcastLearner object from inherited base classes: dc.metalearning with example: obj = ToxcastLearner()