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We will soon release an alpha version and start collecting the data.
Our research team should be able to look at it and test their algorithms on the server, without downloading this data (because it's sensitive).
The proposed solution is to use a mulituser ipython notebook, so everyone can load data from database, run an algorithm (using scikit-learn, tensorflow) and check the results. This will let us get some practical knowledge about both prototyped algorithms and collected data.
But we are not sure if it's
a) safe
b) easy to set-up
c) the best possible way.
The scope of this ticket is to explore this area and create a small (0.5 A4) summary about advantages / disadvantages of this solution, possible alternatives and recommended way of resolving this problem.
The text was updated successfully, but these errors were encountered:
I know about the multiple users' mod for ipython notebook, but I'm not confident about its state. We will have production data on the server, so let's try to make it as secure as possible.
We will soon release an alpha version and start collecting the data.
Our research team should be able to look at it and test their algorithms on the server, without downloading this data (because it's sensitive).
The proposed solution is to use a mulituser ipython notebook, so everyone can load data from database, run an algorithm (using scikit-learn, tensorflow) and check the results. This will let us get some practical knowledge about both prototyped algorithms and collected data.
But we are not sure if it's
a) safe
b) easy to set-up
c) the best possible way.
The scope of this ticket is to explore this area and create a small (0.5 A4) summary about advantages / disadvantages of this solution, possible alternatives and recommended way of resolving this problem.
The text was updated successfully, but these errors were encountered: