суббота 22 февраля
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I had the opportunity to start using xgboost machine learning algorithm, it is fast and shows good results. Here I will be using multiclass prediction with the iris dataset from scikit-learn. The XGBoost algorithm. Installing Anaconda and xgboost In order to work with the data, I need to install various scientific libraries for python. I'm a Windows user and would like to use those mentioned algorithms in the title with my Jupyter notebook which is a part of Anaconda installation. I've tried in anaconda promt window: pip install xgboost.

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Comments

commented Nov 6, 2017

In anaconda prompt, I activated tensorflow using :

activate tensorflow

I want to install xgboost in this tensorflow environment. I tried using this command :

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conda install -c conda-forge xgboost

Saint seiya tenkai hen sub indo. PackageNotFoundError: Packages missing in the current channels
-xgboost

commented Nov 6, 2017

What platform are you on? It looks like the conda-forge xgboost is only available for 64-bit Linux and Mac. The default conda channels have py-xgboost, r-xgboost, and libxgboost for linux 32+64, Mac 64, Win 32+64. ( i.e. conda install py-xgboost ) You can see the full list of what 'xgboost' conda packages are available on Anaconda Cloud here: https://anaconda.org/search?q=xgboost

commented Nov 7, 2017

I am working on windows 64-bit platform. From the above link provided by you, I tried the following command :

conda install -c anaconda py-xgboost

And this solved my issue.
Thanks for the help!

commented Nov 7, 2017

Great!

closed this Nov 7, 2017
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