dataset_schema.py 文件源码

def as_feature_spec(self, column):
    ind = self.index_fields
    if len(ind) != 1 or len(column.axes) != 1:
      raise ValueError('tf.Example parser supports only 1-d sparse features.')
    index = ind[0]

    if column.domain.dtype not in _TF_EXAMPLE_ALLOWED_TYPES:
      raise ValueError('tf.Example parser supports only types {}, so it is '
                       'invalid to generate a feature_spec with type '
                       '{}.'.format(
                           _TF_EXAMPLE_ALLOWED_TYPES,
                           repr(column.domain.dtype)))

    return tf.SparseFeature(index.name,
                            self._value_field_name,
                            column.domain.dtype,
                            column.axes[0].size,
                            index.is_sorted)