Issue
We are trying to train an LSTM under anaconda (spyder) from a dataset of size 333113kb. (3628801 rows * 31columns) The data is stored in a .csv file and is imported using the pandas library. The execution is too slow and somtimes spyder crashes.
NB : we are using an Intel Core (TM) i5-8300H CPU 2.3 GHz with 8Go of RAM.
Solution
not directly an IDE but I like to use Visual Studio Code because it's an excellent way to go even for machine learning and data science.
- it works on any OS
- supports many Technologies besides Python, C#, JS etc.
- open source and lightweight
- VS Code is integrated with PyLint
- You can perform unit testing on your machine learning models easily
for me VS Code makes working with SQL, .NET, Node.js and many other Tools a lot easier. It's a great code editor that supports you with operations like debugging, task running, version control and many other things that a full featured IDE can also do.
Answered By - Davis Jahn
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