TensorFlow: Combining Categorical and Continuous Variables
Illia Polosukhin

Hi, Could you please help with updating it for TensorFlow 1.0. I was trying to run my script (that work on TF 0.10). But, with TF 1.0, it fails with the following error:
 File “online_tensor1_Hotel.py”, line 289, in <module>
 classifier.fit(input_fn=pandas_input_fn(X_train.loc[0:train_base,],y_train.loc[0:train_base]), steps=2500,monitors=[validation_monitor])
 File “/usr/lib/python2.7/dist-packages/tensorflow/python/util/deprecation.py”, line 280, in new_func
 return func(*args, **kwargs)
 File “/usr/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py”, line 426, in fit
 loss = self._train_model(input_fn=input_fn, hooks=hooks)
 File “/usr/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py”, line 932, in _train_model
 features, labels = input_fn()
 File “online_tensor1_Hotel.py”, line 168, in input_fn
 queue = learn.DataFrame.queues.feeding_functions.enqueue_data(
AttributeError: ‘module’ object has no attribute ‘DataFrame’

Would you have any suggestions?

One clap, two clap, three clap, forty?

By clapping more or less, you can signal to us which stories really stand out.