Python 複製 from azure.ai.ml import Input, Output, command train_func = command( environment="AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:33", command='echo "hello world"', distribution={"type": "Pytorch", "process_count_per_instance": 2}, inputs={ "training_data": Input(type="uri_...
Python Kopírovať from azure.ai.ml import Input, Output, command train_func = command( environment="AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:33", command='echo "hello world"', distribution={"type": "Pytorch", "process_count_per_instance": 2}, inputs={ "training_data": Input(type...
Python 复制 MLClient(credential: TokenCredential, subscription_id: str | None = None, resource_group_name: str | None = None, workspace_name: str | None = None, registry_name: str | None = None, **kwargs: Any)参数credential TokenCredential 必需 用于身份验证的凭据。
Python 复制 from azure.ai.ml import Input, Output, command train_func = command( environment="AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:33", command='echo "hello world"', distribution={"type": "Pytorch", "process_count_per_instance": 2}, inputs={ "training_data": Input(type="uri_...
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://learn.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-
sofiar-msft pushed a commit to sofiar-msft/azure-sdk-for-python that referenced this pull request Feb 16, 2024 [ml][ai] Fix azure-ai package README errors (Azure#33968) … bb3d377 Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment...
熟悉ML 概念– 了解 Python、Jupyter 筆記本和機器學習模型開發。 安全組態– 在 Azure 和 AWS 之間正確設定角色、政策和許可,以確保安全的資料傳輸和存取。 (選用) 向量資料庫– 如果您使用擷取增強型產生 (RAG) 方法和向量資料庫的第三方服務,則需要存取外部向量資料庫。
-t cuda,nvtx,cublas,cudnn -s none'\\\n -m tensorflow2 python train.py\n\n\n-f, --force=\n Possible values are'true'or'false'\n-t, --trace=\n Possible values are'cuda','nvtx','osrt','cublas','cudnn'''
-t cuda,nvtx,cublas,cudnn -s none'\\\n -m tensorflow2 python train.py\n\n\n-f, --force=\n Possible values are'true'or'false'\n-t, --trace=\n Possible values are'cuda','nvtx','osrt','cublas','cudnn'''
Connaissance des concepts de machine learning— Compréhension de Python, des blocs-notes Jupyter et du développement de modèles d'apprentissage automatique. Configuration de sécurité : configuration appropriée des rôles, des politiques et des autorisations dans...