PYTHON

multiclasshead

def _my_model_fn(features, labels, mode):
  my_head = tf.estimator.MultiClassHead(n_classes=3)
  logits = tf.keras.Model(...)(features)

multiclasshead

def _my_model_fn(features, labels, mode):
  my_head = tf.estimator.MultiClassHead(n_classes=3)
  logits = tf.keras.Model(...)(features)

  return my_head.create_estimator_spec(
      features=features,
      mode=mode,
      labels=labels,
      optimizer=tf.keras.optimizers.Adagrad(lr=0.1),
      logits=logits)

my_estimator = tf.estimator.Estimator(model_fn=_my_model_fn)