updates required for TensorFlow 0.12.1

[mg64ve]

Hi, interesting examples and presentation.
I would like to give a try.
So I have just clone the git in my Ubuntu 16.04 and installed the most recent version of TensorFlow with pip.
But I get the following error:

root@ubumate:/opt/tensorflow/TensorFlow-Tutorials-for-Time-Series# python3 lstm-for-epf.py WARNING:tensorflow:From lstm-for-epf.py:34 in <module>.: calling BaseEstimator.evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with batch_size is deprecated and will be removed after 2016-12-01. Instructions for updating: Estimator is decoupled from Scikit Learn interface by moving into separate class SKCompat. Arguments x, y and batch_size are only available in the SKCompat class, Estimator will only accept input_fn. Example conversion: est = Estimator(...) -> est = SKCompat(Estimator(...))

Do you have an idea how I should change the following line:

regressor = learn.TensorFlowEstimator(model_fn=lstm_model(TIMESTEPS, RNN_LAYERS, DENSE_LAYERS), n_classes=0, verbose=1, steps=TRAINING_STEPS, optimizer='Adagrad', learning_rate=0.03, batch_size=BATCH_SIZE))

in order to make it working?
Thanks.
Regards.

[yelongclass]

I met the same problem. TensorFlowEstimator is instead by Estimator or BaseEstimator in the newest tensorflow version. I also hope for the resolution. Thanks.

[zhongweibupt]

Thanks for author's work. But these examples confused me for a long time. To be honest, they make no sense when I work with TensorFlow 0.12.1. Maybe I should read the guide of https://www.tensorflow.org/api_docs/python/contrib.learn/estimators and search a new solution.....