python - TypeError: argument of type 'float' is not iterable-Tensorflow wide_n_deep_tutorial -


i facing issue while running wide_n_deep_tutorial program of tensorflow https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/learn/wide_n_deep_tutorial.py on personal data set variation parameters. loading data s3.

my target variable "impression_flag" takes value of either "true" or "false". below code snippet of train_and_eval method:

    def train_and_eval():   """train , evaluate 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)   key in sorted(results):     print("%s: %s" % (key, results[key]))

while running code, error "type error: argument of type 'float' not iterable" displayed. following screenshot of error. enter image description here

any appreciated!

i got same problem, turns out caused nan in first line. please checks answer: https://stackoverflow.com/a/40223208/5318060


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