When i am trying in another dataset i mgetting error can u pls help me in this regard

[p-suresh-kumar]

I m attaching error log and screen shot of the dataset where i am getting error when i try to work on the same DNNClassifier

`I0324 15:40:17.339685 812 estimator.py:1145] Calling model_fn.

ValueError Traceback (most recent call last)
in
----> 1 model.train(input_fn = make_input_fn(df_train, num_epochs = 3000))

~\Anaconda3\envs\venv\lib\site-packages\tensorflow_estimator\python\estimator\estimator.py in train(self, input_fn, hooks, steps, max_steps, saving_listeners)
365
366 saving_listeners = _check_listeners_type(saving_listeners)
--> 367 loss = self._train_model(input_fn, hooks, saving_listeners)
368 logging.info('Loss for final step: %s.', loss)
369 return self

~\Anaconda3\envs\venv\lib\site-packages\tensorflow_estimator\python\estimator\estimator.py in _train_model(self, input_fn, hooks, saving_listeners)
1156 return self._train_model_distributed(input_fn, hooks, saving_listeners)
1157 else:
-> 1158 return self._train_model_default(input_fn, hooks, saving_listeners)
1159
1160 def _train_model_default(self, input_fn, hooks, saving_listeners):

~\Anaconda3\envs\venv\lib\site-packages\tensorflow_estimator\python\estimator\estimator.py in _train_model_default(self, input_fn, hooks, saving_listeners)
1186 worker_hooks.extend(input_hooks)
1187 estimator_spec = self._call_model_fn(
-> 1188 features, labels, ModeKeys.TRAIN, self.config)
1189 global_step_tensor = training_util.get_global_step(g)
1190 return self._train_with_estimator_spec(estimator_spec, worker_hooks,

~\Anaconda3\envs\venv\lib\site-packages\tensorflow_estimator\python\estimator\estimator.py in _call_model_fn(self, features, labels, mode, config)
1144
1145 logging.info('Calling model_fn.')
-> 1146 model_fn_results = self._model_fn(features=features, **kwargs)
1147 logging.info('Done calling model_fn.')
1148

~\Anaconda3\envs\venv\lib\site-packages\tensorflow_estimator\python\estimator\canned\dnn.py in _model_fn(features, labels, mode, config)
810 input_layer_partitioner=input_layer_partitioner,
811 config=config,
--> 812 batch_norm=batch_norm)
813
814 super(DNNClassifier, self).init(

~\Anaconda3\envs\venv\lib\site-packages\tensorflow_estimator\python\estimator\canned\dnn.py in _dnn_model_fn(features, labels, mode, head, hidden_units, feature_columns, optimizer, activation_fn, dropout, input_layer_partitioner, config, use_tpu, batch_norm)
462 input_layer_partitioner=input_layer_partitioner,
463 batch_norm=batch_norm)
--> 464 logits = logit_fn(features=features, mode=mode)
465
466 return _get_dnn_estimator_spec(use_tpu, head, features, labels, mode,

~\Anaconda3\envs\venv\lib\site-packages\tensorflow_estimator\python\estimator\canned\dnn.py in dnn_logit_fn(features, mode)
105 batch_norm,
106 name='dnn')
--> 107 return dnn_model(features, mode)
108
109 return dnn_logit_fn

~\Anaconda3\envs\venv\lib\site-packages\tensorflow\python\keras\engine\base_layer.py in call(self, inputs, *args, **kwargs)
632 outputs = base_layer_utils.mark_as_return(outputs, acd)
633 else:
--> 634 outputs = call_fn(inputs, *args, **kwargs)
635
636 except TypeError as e:

~\Anaconda3\envs\venv\lib\site-packages\tensorflow\python\autograph\impl\api.py in wrapper(*args, **kwargs)
147 except Exception as e: # pylint:disable=broad-except
148 if hasattr(e, 'ag_error_metadata'):
--> 149 raise e.ag_error_metadata.to_exception(type(e))
150 else:
151 raise

ValueError: in converted code:
relative to C:\Users\suresh\Anaconda3\envs\venv\lib:

site-packages\tensorflow_estimator\python\estimator\canned\dnn.py:250 call *
    net = self._input_layer(features)
site-packages\tensorflow\python\keras\engine\base_layer.py:634 __call__
    outputs = call_fn(inputs, *args, **kwargs)
site-packages\tensorflow\python\feature_column\feature_column_v2.py:472 call *
    with ops.name_scope(column.name):
site-packages\tensorflow\python\framework\ops.py:6513 __enter__
    return self._name_scope.__enter__()
contextlib.py:81 __enter__
    return next(self.gen)
site-packages\tensorflow\python\framework\ops.py:4307 name_scope
    raise ValueError("'%s' is not a valid scope name" % name)

ValueError: 'ev(g)' is not a valid scope name

`