Utility tools to use IrisML on AzureML
Project description
irisml-tasks-azureml
This package is a part of IrisML pipeline. It provides utility scripts and tasks to work with AzureML.
Installation
pip install irisml-tasks-azureml
Available commands
irisml_run_aml [-h] [--env ENV] [--cache_url CACHE_URL] [--no_cache] [--include_local_tasks [INCLUDE_LOCAL_TASKS]] [--custom_packages CUSTOM_PACKAGES [CUSTOM_PACKAGES ...]]
[--extra_index_url EXTRA_INDEX_URL] [--no_wait] [--compute_target COMPUTE_TARGET] [--subscription_id SUBSCRIPTION_ID] [--workspace WORKSPACE] [--experiment EXPERIMENT]
[--base_docker_image BASE_DOCKER_IMAGE] [--base_docker_image_registry BASE_DOCKER_IMAGE_REGISTRY]
job_filepath
You can run an experiment on a remote AzureML node. If --include_local_tasks option is used, python scripts in the current directory or the specified directory will be sent to AzureML and be loaded as custom tasks.
Example
irisml_run_aml irisml/docs/example/mobilenetv2_mnist_training.json -p irisml-tasks-torchvision irisml-tasks-training --compute_target <cluster_name> --subscription_id <subscription_id> --workspace <workspacename>
Tasks
run_azureml_child
Submit a new AzureML job as a child of the current run. Raises an exception if the current environment was not on AzureML.
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