<![CDATA[backtest_ml()]]>Hi there,

The new function backtest_ml() implemented in the example: "Machine Learning with a Voting Classifier" is a great way of getting a fast feedback from a given model.

Is it possible to use it with multiple datasets (for example, using "futures" and "commodity" data, as done in the template: "Futures - IMF Commodity") ?

Thank you!

]]>http://quantiacs.com/community/topic/53/backtest_mlRSS for NodeTue, 10 Mar 2026 09:27:46 GMTSun, 02 May 2021 20:10:41 GMT60<![CDATA[Reply to backtest_ml() on Thu, 27 May 2021 11:47:52 GMT]]>@support Great! This route opens new possibilities in terms of model design. Thanks a lot!

]]>http://quantiacs.com/community/post/343http://quantiacs.com/community/post/343Thu, 27 May 2021 11:47:52 GMT<![CDATA[Reply to backtest_ml() on Thu, 27 May 2021 09:23:49 GMT]]>@sun-73 Hello, finally it is here:

https://github.com/quantiacs/strategy-ml-predict-BTC-use-IMF/blob/master/strategy.ipynb

Soon in the templates once we add some more text

]]>http://quantiacs.com/community/post/342http://quantiacs.com/community/post/342Thu, 27 May 2021 09:23:49 GMT<![CDATA[Reply to backtest_ml() on Tue, 11 May 2021 21:27:47 GMT]]>@cortezkwan

Just update the library, it will be enough.

Conda:
You can see the latest version of library here: https://anaconda.org/quantiacs-source/qnt/files
This command will update the package in the current environment.

conda install 'quantiacs-source::qnt>=0.0.255'

Pip:
If you use pip, just reinstall the package from github:

pip install --force-reinstall git+git://github.com/quantiacs/toolbox.git
]]>http://quantiacs.com/community/post/255http://quantiacs.com/community/post/255Tue, 11 May 2021 21:27:47 GMT<![CDATA[Reply to backtest_ml() on Tue, 11 May 2021 05:19:08 GMT]]>@support Hi,
I tried to replicate the "Machine Learning with a Voting Classifier" example on strategy notebook, but I got the error message: "AttributeError: module 'qnt.backtester' has no attribute 'backtest_ml'".

]]>http://quantiacs.com/community/post/247http://quantiacs.com/community/post/247Tue, 11 May 2021 05:19:08 GMT<![CDATA[Reply to backtest_ml() on Mon, 03 May 2021 13:28:40 GMT]]>@support Many thanks! An example would be very much appreciated!

]]>http://quantiacs.com/community/post/230http://quantiacs.com/community/post/230Mon, 03 May 2021 13:28:40 GMT<![CDATA[Reply to backtest_ml() on Sun, 02 May 2021 21:28:47 GMT]]>@sun-73 thanks, sure, please let us a little bit of time to prepare an example with these specifications!

]]>http://quantiacs.com/community/post/226http://quantiacs.com/community/post/226Sun, 02 May 2021 21:28:47 GMT