Question

目前，我正在研究DNNC分类器，以预测第二天的库存趋势。

以下是使用tensorflow创建的DNNClassifier的代码：

feature_columns = [tf.contrib.layers.real_valued_column(k) for k in FEATURES]

classifier = tf.contrib.learn.DNNClassifier(feature_columns=feature_columns,
                                                hidden_units=[250, 200, 150, 100, 50],
                                                n_classes=5,
                                                model_dir="/stock_model")

def input_fn(data_set):
    feature_cols = {k: tf.constant(data_set[k].values) for k in FEATURES}
    labels = tf.constant(data_set[LABEL].values)
    #print (feature_cols)
    return feature_cols, labels
estimator = tf.contrib.learn.Estimator(model_fn=classifier)
estimator.fit(input_fn=lambda:input_fn(training_set), steps=5000)

执行时代码抛出以下错误：

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/phani/anaconda3/lib/python3.5/site-packages/spyder/utils/site/sitecustomize.py", line 866, in runfile
    execfile(filename, namespace)
  File "/home/phani/anaconda3/lib/python3.5/site-packages/spyder/utils/site/sitecustomize.py", line 102, in execfile
    exec(compile(f.read(), filename, 'exec'), namespace)
  File "/home/phani/TensorFlow/pythoncodefordnnclassifier/iris_Classification.py", line 45, in <module>
    estimator = tf.contrib.learn.Estimator(model_fn=classifier)
  File "/home/phani/anaconda3/lib/python3.5/site-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py", line 990, in __init__
    if params is None or 'params' in model_fn_args:
TypeError: argument of type 'NoneType' is not iterable

你能帮我解决一下吗？如果这是一个现有问题，那么链接就会有很大帮助。

感谢。

TypeError：类型为'NoneType'的参数不可迭代Tensorflow estimator.py DNNClassifier

0 个答案: