Would be awesome to have kera and tensorflow module avaible!
Come on, it is not so hard to install this two libs, both can run on CPU! Training could be done in the research environment.... And please dont say that deep learning is useless!
Here is a post full of potential:
https://medium.com/analytics-vidhya/using-machine-learning-to-predict-stock-prices-c4d0b23b029a
The training is resource intensive... But as said could be done in the research environment... Then that is all the advantage on NN it is a very very light solution in both memory and computation.... even LSTM and would be lot of fun to play with data available in Q...
yeah sure :-)
My guess is, as the training can be computationally intensive, the Q might not want to invest in their infra just to make deep learning happen.
As for reading from research env, I am not sure what it means. Do you mean to train in the notebook and read from the algo?
AFAIK Q does not allow to refer to the another file in research env, not even from a notebook to a notebook.
It would be great if Q could support Keras and LSTM:
https://www.kdnuggets.com/2019/04/introduction-time-series-forecasting-simple-neural-networks-lstm.html
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