I am very comfortable with creating environment from a requirements file using pip. Could i create the same type of environment from requirements file for AzureML experiment?
First we have to create a requirements file and store it in directory in AzureML workspace directory.
myenv = Environment.from_pip_requirements(name="myenv", file_path="path-to-pip-requirements-file")
Then, we can use it for our experiment.
For example:
src = ScriptRunConfig(source_directory=".",
script="example.py",
compute_target="local",
environment=myenv)
run = myexp.submit(config=src)
run.wait_for_completion(show_output=True)
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.