Xgboost :: Anaconda.org
anaconda.org › conda-forge › xgboostosx-arm64 v1.5.0. linux-64 v1.5.0. osx-64 v1.5.0. win-64 v1.5.0. To install this package with conda run one of the following: conda install -c conda-forge xgboost. conda install -c conda-forge/label/gcc7 xgboost. conda install -c conda-forge/label/cf201901 xgboost. conda install -c conda-forge/label/cf202003 xgboost.
Xgboost :: Anaconda.org
https://anaconda.org/conda-forge/xgboostXGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable. It implements machine learning algorithms under the Gradient Boosting framework. XGBoost provides a parallel tree boosting (also known as GBDT, GBM) that solve many data science problems in a fast and accurate way.
Py Xgboost :: Anaconda.org
anaconda.org › anaconda › py-xgboostwin-64 v1.3.3 To install this package with conda run: conda install -c anaconda py-xgboost Description XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable. It implements machine learning algorithms under the Gradient Boosting framework.
How to install xgboost in Anaconda Python (Windows platform ...
fix.code-error.com › how-to-install-xgboost-inMar 15, 2021 · anaconda search -t conda xgboost You will get a list of install-able features like this: for example if you want to install the first one on the list mndrake/xgboost (FOR WINDOWS-64bits): conda install -c mndrake xgboost If you’re in a Unix system you can choose any other package with "linux-64" on the right. Update on 22/10/2020: Without searching in conda list of channels, you can install it using (source: https://anaconda.org/anaconda/py-xgboost) : conda install -c anaconda py-xgboost ...
Xgboost :: Anaconda.org
anaconda.org › anaconda › xgboostTo install this package with conda run: conda install -c anaconda xgboost Description XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable. It implements machine learning algorithms under the Gradient Boosting framework.