I want to create an environment using the AzureML CLI v2 by using the conda.yml and custom wheel file? I need an alternative of Environment.add_private_pip_wheel from the AzureML SDK v1.
Thank you
You can directly add your wheel file link in the Conda file pip dependencies.
Here is the sample Conda file
name: pydata-example
channels:
- conda-forge
dependencies:
- python=3.8
- pip=21.2.4
- pip:
- scipy==1.7.1
- pandas==1.3.0
- scikit-learn==0.24.2
- adlfs==2021.9.1
- fsspec==2021.8.1
- xgboost==1.4.2
- lightgbm==3.2.1
- mlflow==1.20.2
- azureml-mlflow==1.34.0
- matplotlib==3.4.3
- tqdm==4.62.2
- joblib==1.2.0
- jupyter==1.0.0
- ipykernel==6.4.1
- papermill==2.3.3
- https://files.pythonhosted.org/packages/76/9b/139b42e808e44571412e2b70f970085dc6bd215a46814f91503a75ff5be5/numpy-1.22.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Here, at the end i have given wheel file link.
Next use below code to create environment.
from azure.identity import DefaultAzureCredential, InteractiveBrowserCredential
from azure.ai.ml import MLClient
try:
credential = DefaultAzureCredential()
# Check if given credential can get token successfully.
credential.get_token("https://management.azure.com/.default")
except Exception as ex:
# Fall back to InteractiveBrowserCredential in case DefaultAzureCredential not work
credential = InteractiveBrowserCredential()
ml_client = MLClient(
credential, subscription_id, resource_group, workspace
)
Now, create environment
env_docker_conda = Environment(
image="mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04",
conda_file="conda-yamls/your-conda-file.yml",
name="docker-image-plus-conda-example",
description="Environment created from a Docker image plus Conda environment.",
)
ml_client.environments.create_or_update(env_docker_conda)
This will create a job which makes new environment.
Make sure you giving correct wheel file according to the platform.
Refer this for more ways to build environment.