python - 类型错误 : argument of type 'float' is not iterable-Tensorflow wide_n_deep_tutorial

Question

我在运行 TensorFlow 的 Wide_n_deep_tutorial 程序时遇到问题 https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/learn/wide_n_deep_tutorial.py我的个人数据集上有变化的是参数。我正在从 S3 加载数据。

我的目标变量是“impression_flag”，其值为“TRUE”或“FALSE”。下面是train_and_eval方法的代码片段:

    def train_and_eval():
  """Train and evaluate the model."""
  train_file_name, test_file_name = maybe_download()
  df_train = pd.read_csv(
      tf.gfile.Open(train_file_name),
      names=COLUMNS,
      skipinitialspace=True)
  df_test = pd.read_csv(
      tf.gfile.Open(test_file_name),
      names=COLUMNS,
      skipinitialspace=True,
      skiprows=1)
  df_train[LABEL_COLUMN] = (
      df_train["impression_flag"].apply(lambda x: "TRUE" in x)).astype(int)
  df_test[LABEL_COLUMN] = (
      df_test["impression_flag"].apply(lambda x: "TRUE" in x)).astype(int)

  model_dir = tempfile.mkdtemp() if not FLAGS.model_dir else FLAGS.model_dir
  print("model directory = %s" % model_dir)

  m = build_estimator(model_dir)
  m.fit(input_fn=lambda: input_fn(df_train), steps=FLAGS.train_steps)
  results = m.evaluate(input_fn=lambda: input_fn(df_test), steps=1)
  for key in sorted(results):
    print("%s: %s" % (key, results[key]))

运行代码时，显示错误“Type Error: argument of type 'float' is not iterable”。以下是错误的截图。 enter image description here

如有任何帮助，我们将不胜感激!

Answer 1

我也遇到了同样的问题，原来是第一行的NAN引起的。请检查这个答案:https://stackoverflow.com/a/40223208/5318060