XGBoost is an optimized distributed gradient boosting library designed to be highly efficient. Download latest libxgboost.dll from the unofficial blog here into the xgboost_install_dir folder created in step 5. conda install -c conda-forge/label/cf201901 xgboost.Clone latest xgboost binaries into some folder (here named xgboost_install_dir):.Install git (if not installed) using Chocolatey by entering the following command in an elevated command prompt:.Install Anaconda2 (if not installed) using Chocolatey by entering the following command in an elevated command prompt:.If there are any, remove them and restart computer. Make sure there are no conflicting installations of Python.Install Chocolatey by entering the following command in an elevated command -NoProfile -ExecutionPolicy Bypass -Command "iex ((New-Object ).DownloadString(''))" & SET "PATH=%PATH% %ALLUSERSPROFILE%\chocolatey\bin".Installation manual for xgboost in Windows
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