AttributeError: module 'tensorflow.contrib.learn' has no attribute 'TensorFlowEstimator'

[MrGoogol]

Hello, I can't figure out why has no attribute.
Using TensorFlow0.12

[everett780]

Hello, I am having the same problem with "no attribute 'TensorFlowEstimator'.
I am using tensorflow 0.12

[qwertmax]

@Mike121 @everett780 did you find solution of this issue?

[qwertmax]

TensorFlowEstimator in 0.12.1 now has name Estimator see this

if you will see error

TypeError: init() got an unexpected keyword argument 'optimizer'

you can just remove it

optimizer: An instance of tf.Optimizer used to train the model. If None, will use an Adagrad optimizer.

tensorflow/tensorflow#6303

AttributeError: 'module' object has no attribute 'TensorFlowEstimator'

Use:
regressor = skflow.Estimator(model_fn=lstm_model(TIMESTEPS, RNN_LAYERS, DENSE_LAYERS))

[KP-Zhang]

@qwertmax Do you go through this code? There are several TypeError in this code. Could you give me some advice?

[qwertmax]

@DylanCheung if I can I'll be happy to help

[pusj]

@qwertmax +1 !

[pusj]

@qwertmax @DylanCheung

I might have (but this is unlikely) gotten a bit further down the road on solving the above issues. Feel free to try the code in my repository; https://github.com/pusj/LSTM-Time-Series-Analysis-using-Tensorflow
...and, feel free to comment on the two issues I've added

[KP-Zhang]

@qwertmax @pusj Hi, thank you all very much.
Here is something I am going to share you.
https://github.com/BinRoot/TensorFlow-Book/tree/master/ch10_rnn
Hopefully, it will give an inspiration.
I am working on time series data prediction now.
I wish that we could discuss further.

[pusj]

@DylanCheung , thanks for your initiative! I'd be happy to discuss this further. Thank you for the link, did you have a chance to look at my contribution at https://github.com/pusj/LSTM-Time-Series-Analysis-using-Tensorflow ?

[am-firnas]

Hi can I have the code for supporting to the uploaded csv file (realMarketPriceDataPT.csv) ?

[hhuhhu]

it's there.