如何简单地计算tensorflow中的auc？

我尝试使用tensorflow来计算auc。我的版本是1.0。 但也有一些错误。 任何人都可以举一个如何使用它的例子？ 我看到以前的一些问题，但它似乎过时了。 任何人都可以在新版本中提供正确的代码？ FailedPremissionError:尝试使用未初始化的auc值/假阳性 [[Node:auc/false_positives/read=IdentityT=DT_FLOAT，[u class=[“loc:@auc/false_positives”]，[u device=“/job:localhost/replica:0/task:0/cpu:0”]]

由op u'auc/false_-positives/read'引起，定义为：
文件“/home/xuemeng.cyn/anaconda2/bin/ipython”，第6行，在
sys.exit（IPython.start_IPython（））
文件“/home/xuemeng.cyn/anaconda2/lib/python2.7/site packages/IPython/_init__.py”，第119行，在start_IPython中
返回启动新实例（argv=argv，**kwargs）
文件“/home/xuemeng.cyn/anaconda2/lib/python2.7/site packages/traitlets/config/application.py”，第658行，在launch_实例中
app.start（）
文件“/home/xuemeng.cyn/anaconda2/lib/python2.7/site packages/IPython/terminal/ipapp.py”，第348行，开头
self.shell.mainloop（）
mainloop中的文件“/home/xuemeng.cyn/anaconda2/lib/python2.7/site packages/IPython/terminal/interactiveshell.py”，第486行
self.interact（）
文件“/home/xuemeng.cyn/anaconda2/lib/python2.7/site packages/IPython/terminal/interactiveshell.py”，第477行，在interact中
self.run\u单元格（代码、存储\u历史=True）
文件“/home/xuemeng.cyn/anaconda2/lib/python2.7/site packages/IPython/core/interactiveshell.py”，第2717行，在运行单元中
交互性=交互性，编译器=编译器，结果=结果）
文件“/home/xuemeng.cyn/anaconda2/lib/python2.7/site packages/IPython/core/interactiveshell.py”，第2827行，在运行节点中
如果自我运行代码（代码、结果）：
文件“/home/xuemeng.cyn/anaconda2/lib/python2.7/site packages/IPython/core/interactiveshell.py”，第2881行，运行代码
exec（代码对象、self.user\u全局、self.user\n）
文件“”，第1行，在
sess.run（tf.metrics.auc（labels，pred））
文件“/home/xuemeng.cyn/anaconda2/lib/python2.7/site packages/tensorflow/python/ops/metrics_impl.py”，第626行，在auc中
标签、预测、阈值、权重）
文件“/home/xuemeng.cyn/anaconda2/lib/python2.7/site packages/tensorflow/python/ops/metrics\u impl.py”，第544行，在“混乱”矩阵中
false\u p=\u create\u local（'false\u positives'，shape=[num\u thresholds]）
文件“/home/xuemeng.cyn/anaconda2/lib/python2.7/site packages/tensorflow/python/ops/metrics\u impl.py”，第196行，在“create\u local”中
验证形状=验证形状）
文件“/home/xuemeng.cyn/anaconda2/lib/python2.7/site packages/tensorflow/python/ops/variable_scope.py”，第1679行，变量
缓存设备=缓存设备，名称=名称，数据类型=数据类型）
文件“/home/xuemeng.cyn/anaconda2/lib/python2.7/site packages/tensorflow/python/ops/variables.py”，第199行，在__
预期形状=预期形状）
文件“/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/variables.py”，第330行，在参数的初始化中
self.\u snapshot=数组操作标识（self.\u变量，name=“read”）
文件“/home/xuemeng.cyn/anaconda2/lib/python2.7/site packages/tensorflow/python/ops/gen_array_ops.py”，第1400行，标识为
结果=_op_def_lib.apply_op（“标识”，输入=输入，名称=名称）
文件“/home/xuemeng.cyn/anaconda2/lib/python2.7/site packages/tensorflow/python/framework/op_def_library.py”，第767行，在apply_op
op_def=op_def）
文件“/home/xuemeng.cyn/anaconda2/lib/python2.7/site packages/tensorflow/python/framework/ops.py”，第2630行，位于create_op中
初始值=自身值。\默认值\初始值，初始值=初始值）
文件“/home/xuemeng.cyn/anaconda2/lib/python2.7/site packages/tensorflow/python/framework/ops.py”，第1204行，在__
self._traceback=self._graph._extract_stack（）35; pylint:disable=protected access
FailedPremissionError（回溯见上文）：尝试使用未初始化的auc/false_正值
[[Node:auc/false_-positives/read=Identity[T=DT_-FLOAT，[u-class=[“loc:@auc/false_-positives”]，[u-device=“/job:localhost/replica:0/task:0/cpu:0”]（auc/false_-posities）]]
函数
auc
创建局部变量：
true\u posities
、
true\u negations
、
false\u posities
和
false\u negations
，用于计算
auc
。因此，您需要初始化它们：

Caused by op u'auc/false_positives/read', defined at:
  File "/home/xuemeng.cyn/anaconda2/bin/ipython", line 6, in <module>
    sys.exit(IPython.start_ipython())
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/IPython/__init__.py", line 119, in start_ipython
    return launch_new_instance(argv=argv, **kwargs)
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/traitlets/config/application.py", line 658, in launch_instance
    app.start()
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/IPython/terminal/ipapp.py", line 348, in start
    self.shell.mainloop()
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/IPython/terminal/interactiveshell.py", line 486, in mainloop
    self.interact()
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/IPython/terminal/interactiveshell.py", line 477, in interact
    self.run_cell(code, store_history=True)
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/IPython/core/interactiveshell.py", line 2717, in run_cell
    interactivity=interactivity, compiler=compiler, result=result)
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/IPython/core/interactiveshell.py", line 2827, in run_ast_nodes
    if self.run_code(code, result):
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/IPython/core/interactiveshell.py", line 2881, in run_code
    exec(code_obj, self.user_global_ns, self.user_ns)
  File "<ipython-input-29-2bca3b61757e>", line 1, in <module>
    sess.run(tf.metrics.auc(labels, preds))
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/metrics_impl.py", line 626, in auc
    labels, predictions, thresholds, weights)
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/metrics_impl.py", line 544, in _confusion_matrix_at_thresholds
    false_p = _create_local('false_positives', shape=[num_thresholds])
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/metrics_impl.py", line 196, in _create_local
    validate_shape=validate_shape)
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 1679, in variable
    caching_device=caching_device, name=name, dtype=dtype)
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/variables.py", line 199, in __init__
    expected_shape=expected_shape)
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/variables.py", line 330, in _init_from_args
    self._snapshot = array_ops.identity(self._variable, name="read")
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/gen_array_ops.py", line 1400, in identity
    result = _op_def_lib.apply_op("Identity", input=input, name=name)
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 767, in apply_op
    op_def=op_def)
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2630, in create_op
    original_op=self._default_original_op, op_def=op_def)
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1204, in __init__
    self._traceback = self._graph._extract_stack()  # pylint: disable=protected-access

FailedPreconditionError (see above for traceback): Attempting to use uninitialized value auc/false_positives
         [[Node: auc/false_positives/read = Identity[T=DT_FLOAT, _class=["loc:@auc/false_positives"], _device="/job:localhost/replica:0/task:0/cpu:0"](auc/false_positives)]]

Caused by op u'auc/false_positives/read', defined at:
  File "/home/xuemeng.cyn/anaconda2/bin/ipython", line 6, in <module>
    sys.exit(IPython.start_ipython())
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/IPython/__init__.py", line 119, in start_ipython
    return launch_new_instance(argv=argv, **kwargs)
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/traitlets/config/application.py", line 658, in launch_instance
    app.start()
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/IPython/terminal/ipapp.py", line 348, in start
    self.shell.mainloop()
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/IPython/terminal/interactiveshell.py", line 486, in mainloop
    self.interact()
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/IPython/terminal/interactiveshell.py", line 477, in interact
    self.run_cell(code, store_history=True)
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/IPython/core/interactiveshell.py", line 2717, in run_cell
    interactivity=interactivity, compiler=compiler, result=result)
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/IPython/core/interactiveshell.py", line 2827, in run_ast_nodes
    if self.run_code(code, result):
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/IPython/core/interactiveshell.py", line 2881, in run_code
    exec(code_obj, self.user_global_ns, self.user_ns)
  File "<ipython-input-29-2bca3b61757e>", line 1, in <module>
    sess.run(tf.metrics.auc(labels, preds))
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/metrics_impl.py", line 626, in auc
    labels, predictions, thresholds, weights)
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/metrics_impl.py", line 544, in _confusion_matrix_at_thresholds
    false_p = _create_local('false_positives', shape=[num_thresholds])
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/metrics_impl.py", line 196, in _create_local
    validate_shape=validate_shape)
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 1679, in variable
    caching_device=caching_device, name=name, dtype=dtype)
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/variables.py", line 199, in __init__
    expected_shape=expected_shape)
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/variables.py", line 330, in _init_from_args
    self._snapshot = array_ops.identity(self._variable, name="read")
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/gen_array_ops.py", line 1400, in identity
    result = _op_def_lib.apply_op("Identity", input=input, name=name)
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 767, in apply_op
    op_def=op_def)
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2630, in create_op
    original_op=self._default_original_op, op_def=op_def)
  File "/home/xuemeng.cyn/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1204, in __init__
    self._traceback = self._graph._extract_stack()  # pylint: disable=protected-access

FailedPreconditionError (see above for traceback): Attempting to use uninitialized value auc/false_positives
         [[Node: auc/false_positives/read = Identity[T=DT_FLOAT, _class=["loc:@auc/false_positives"], _device="/job:localhost/replica:0/task:0/cpu:0"](auc/false_positives)]]

tf.local_variables_initializer().run()