The current Jupyter Notebook code on the Refinitiv Eikon Data API Tutorials website was apparently written for TensorFlow 1.x which has been deprecated. Can anyone recommend updated code for this tutorial to work with TensorFlow 2.x? Specifically, I'm aware that tf.logging and tf.contrib have been deprecated.
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Tutorial "Financial Time Series Prediction — Using Deep Neural Networks" doesn't work with TensorFlow 2.x
For now, I'm using a Python 3.6 environment with TensorFlow 1.14. This works, but I'm still interested in a long-term solution with TensorFlow 2.x in a more current Python environment.
The client may refer to this example (https://github.com/yhilpisch/eikondataapi/blob/master/notebooks/13_tpq_eikon_deep_learning.ipynb) on GitHub.
Please take a look.
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@User1 So these examples were built when there was only a tensorflow 1.x - we aim to update these samples as we also have some newer RD libraries to work with. We will be updating this whole series shortly. I hope this can help.
