Tensorflow tf.contrib.layers.bucketized_柱是如何工作的？

我想知道如何使用它

age = tf.contrib.layers.real_valued_column("age")
age_buckets = tf.contrib.layers.bucketized_column(age, boundaries=[18, 25, 30, 35, 40, 45, 50, 55, 60, 65])

---

在中说明。

中定义为注释的一个示例用法：

从该文件复制：

  age_column = real_valued_column("age")
  bucketized_age_column = bucketized_column(
      source_column=age_column,
      boundaries=[18, 25, 30, 35, 40, 45, 50, 55, 60, 65])
  first_layer = input_from_feature_columns(...,
      feature_columns=[..., bucketized_age_column])
  second_layer = fully_connected(first_layer, ...)

  # For linear models
  predicitions, _, _ = weighted_sum_from_feature_columns(...,
      feature_columns=[..., bucketized_age_column])