For example, some libraries require extra configurations and the storage of configuration files in a user's home directory. Use this parameter to write commands to run when a conda environment is installed. These libraries are listed under Top Libraries in the environment card. You can modify the list if you decide to add new libraries or modify the versions of preinstalled libraries.
#Anaconda create environment from yaml file series#
Use this parameter to highlight a series of important libraries that are available in the conda environment. You delete an installed conda environment. home/datascience/conda/notebooks and are deleted when Instructs odsc conda which notebook examples are associated Also, odsc conda detects the type of architecture of a notebook sessions, and sets the value to either cpu or gpu when you create a conda environment. The odsc conda check warns you of a mismatch between the notebook session architecture and the target architecture of the conda environment. Hardware checks are performed before installing a conda environment to a notebook session. The type of hardware architecture supporting the conda environment at runtime. This parameter is defined as in the osdc conda CLI commands. Versioning a conda environment allows you to track environment lineage over time. The version parameter doesn't necessarily reflect the version of any of the libraries installed in the conda environment. This parameter is defined asĪ description of the conda environment, which is limited to 500 characters.Įdit the manifest file directly if you want to modify the description.
The version of the current manifest file is updated by the odscĬonda CLI after the environment is published so manually
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