#How to install xgboost python mac upgrade

Select the target package and click Install Package. This option is not available for Conda environments. If the checkbox is selected, the packages will be installed into the specified directory. Install to user's site packages directory : If this checkbox is left cleared (by default), then the packages will be installed into the current interpreter package directory. Options: If this checkbox is selected, you can type the pip install command-line options in the text field.

Specify version: if this checkbox is selected, you can select the desired version from the list of available versions. If required, select the following checkboxes: In the dialog that opens, preview the list of the available packages and type the name of the package to install in the Search field. This toggle is enabled by default for Conda environments. Use this toggle to manage packages from the Conda environment repository. If you select a Python SDK with the configured Conda environment, the Use Conda Package Manager toggle appears in the Packages tab toolbar. Switch to the Packages tab to preview the list of the available packages. To manage Python packages for the Python interpreter, navigate to File | Project Structure, select SDKs under the Platform Settings section, and select the target Python SDK from the list of the available SDKs. Manage packages in the Python interpreter settings In IntelliJВ IDEA, you can preview and manage packages in the Python Packages tool window and in the Python interpreter Settings/Preferences. For Conda environments you can use the conda package manager.

By default, IntelliJВ IDEA uses pip to manage project packages. IntelliJВ IDEA provides methods for installing, uninstalling, and upgrading Python packages for a particular Python SDK. The following is only valid when the Python plugin is installed and enabled.

#How to install xgboost python mac upgrade

Install, uninstall, and upgrade Python packages