azuremlsdk: mount_file_dataset – R documentation

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

mount_file_dataset

Create a context manager for mounting file streams defined by the dataset as local files.

Description

Create a context manager for mounting file streams defined by the dataset as local files. A context manager will be returned to manage the lifecycle of the mount. To mount, you will need to enter the context manager and to unmount, exit from the context manager. Mount is only supported on Unix or Unix-like operating systems and libfuse must be present. If you are running inside a docker container, the docker container must be started with the --privileged flag or started with --cap-add SYS_ADMIN --device /dev/fuse.

Usage

mount_file_dataset(dataset, mount_point = NULL)

Arguments

`dataset`	The Dataset object.
`mount_point`	The local directory to mount the files to. If NULL, the data will be mounted into a temporary directory.

Value

Returns a context manager for managing the lifecycle of the mount of type azureml.dataprep.fuse.daemon.MountContext.

azuremlsdk

Interface to the 'Azure Machine Learning' 'SDK'

v1.10.0

MIT + file LICENSE

Authors

Diondra Peck [cre, aut], Minna Xiao [aut], AzureML R SDK Team [ctb], Microsoft [cph, fnd], Google Inc. [cph] (Examples and Tutorials), The TensorFlow Authors [cph] (Examples and Tutorials), RStudio Inc. [cph] (Examples and Tutorials)

Initial release