2017-09-25 74 views
1
sess.run(tf.metrics.auc(labels, preds)) 

我嘗試使用tensorflow來計算auc。我的版本是1.0。 但有一些錯誤。 任何人都可以舉例說明如何使用它? 我看到一些以前的問題,但似乎過時了。 任何人都可以在新版本中給出正確的代碼? FailedPreconditionError:嘗試使用未初始化的值auc/false_positives [[Node:auc/false_positives/read = IdentityT = DT_FLOAT,_class = [「loc:@ auc/false_positives」],_device =「/ job:localhost/replica:0 /任務:0/CPU:0" ]]如何用簡單的方法計算tensorflow中的auc?

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)]] 

回答

1

auc函數創建的局部變量:true_positivestrue_negativesfalse_positivesfalse_negatives被用於計算AUC。所以你需要初始化它們:

tf.local_variables_initializer().run()