Metadata-Version: 2.1
Name: azure-ai-ml
Version: 0.1.0b6
Summary: Microsoft Azure Machine Learning Client Library for Python
Home-page: https://github.com/Azure/azure-sdk-for-python
Author: Microsoft Corporation
Author-email: azuresdkengsysadmins@microsoft.com
License: MIT License
Project-URL: Bug Reports, https://github.com/Azure/azure-sdk-for-python/issues
Project-URL: Source, https://github.com/Azure/azure-sdk-python
Description: # Azure ML Package client library for Python
        
        We are excited to introduce the public  preview of Azure Machine Learning Python SDK v2. The Python SDK v2 introduces new SDK capabilities like standalone local jobs, reusable components for pipelines and managed online/batch inferencing. Python SDK v2 allows you to move from simple to complex tasks easily and incrementally. This is enabled by using a common object model which brings concept reuse and consistency of actions across various tasks. The SDK v2 shares its foundation with the CLI v2 which is currently in also in public preview.
        
        [Source code][source_code] | [Package (PyPI)][ml_pypi] | [API reference documentation][ml_ref_docs] | [Product documentation][product_documentation] | [Samples][ml_samples]
        
        
        This package has been tested with Python 3.6, 3.7, 3.8, 3.9 and 3.10.
        
        For a more complete set of Azure libraries, see https://aka.ms/azsdk/python/all
        
        ## Getting started
        
        ### Prerequisites
        
        - Python 3.6 later is required to use this package.
        - You must have an [Azure subscription][azure_subscription].
        - An [Azure Machine Learning Workspace][workspace].
        
        ### Install the package
        
        Install the Azure ML client library for Python with [pip][pip_link]:
        
        ```bash
        pip install azure-ai-ml
        ```
        
        ### Authenticate the client
        
        ```python
        from azure.ai.ml import MLClient
        from azure.identity import DefaultAzureCredential
        
        ml_client = MLClient(
            DefaultAzureCredential(), subscription_id, resource_group, workspace
        )
        ```
        
        ## Key concepts
        
        Azure Machine Learning Python SDK v2 comes with many new features like standalone local jobs, reusable components for pipelines and managed online/batch inferencing. The SDK v2 brings consistency and ease of use across all assets of the platform. The Python SDK v2 offers the following capabilities:
        * Run **Standalone Jobs** - run a discrete ML activity as Job. This job can be run locally or on the cloud. We currently support the following types of jobs:
          * Command - run a command (Python, R, Windows Command, Linux Shell etc.)
          * Sweep - run a hyperparameter sweep on your Command
        * Run multiple jobs using our **improved Pipelines**
          * Run a series of commands stitched into a pipeline (**New**)
          * **Components** - run pipelines using reusable components (**New**)
        * Use your models for **Managed Online inferencing** (**New**)
        * Use your models for Managed **batch inferencing**
        * Manage AML resources – workspace, compute, datastores
        * Manage AML assets - Datasets, environments, models
        * **AutoML** - run standalone AutoML training for various ml-tasks:
          - Classification (Tabular data)
          - Regression (Tabular data)
          - Time Series Forecasting (Tabular data)
          - Image Classification (Multi-class) (**New**)
          - Image Classification (Multi-label) (**New**)
          - Image Object Detection (**New**)
          - Image Instance Segmentation (**New**)
          - NLP Text Classification (Multi-class) (**New**)
          - NLP Text Classification (Multi-label) (**New**)
          - NLP Text Named Entity Recognition (NER) (**New**)
        
        ## Examples
        
        - View our [samples][ml_samples].
        
        ## Troubleshooting
        
        ### General
        
        Azure ML clients raise exceptions defined in [Azure Core][azure_core_readme].
        
        ```python
        from azure.core.exceptions import HttpResponseError
        
        try:
            ml_client.compute.get("cpu-cluster")
        except HttpResponseError as error:
            print("Request failed: {}".format(error.message))
        ```
        
        ### Logging
        
        This library uses the standard
        [logging][python_logging] library for logging.
        Basic information about HTTP sessions (URLs, headers, etc.) is logged at INFO
        level.
        
        Detailed DEBUG level logging, including request/response bodies and unredacted
        headers, can be enabled on a client with the `logging_enable` argument.
        
        See full SDK logging documentation with examples [here][sdk_logging_docs].
        
        ## Next steps
        
        - View our [samples][ml_samples].
        
        ## Contributing
        
        This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit [cla.microsoft.com][cla].
        
        When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
        
        This project has adopted the [Microsoft Open Source Code of Conduct][code_of_conduct]. For more information see the [Code of Conduct FAQ][coc_faq] or contact [opencode@microsoft.com][coc_contact] with any additional questions or comments.
        
        <!-- LINKS -->
        
        [source_code]: https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/ml/azure-ai-ml
        [ml_pypi]: https://pypi.org/project/azure-ai-ml/
        [ml_ref_docs]: https://docs.microsoft.com/python/api/azure-ai-ml/?view=azure-ml-py
        [ml_samples]: https://github.com/Azure/azureml-examples/tree/sdk-preview/sdk
        [product_documentation]: https://docs.microsoft.com/azure/machine-learning/
        [azure_subscription]: https://azure.microsoft.com/free/
        [workspace]: https://docs.microsoft.com/azure/machine-learning/concept-workspace
        [python_logging]: https://docs.python.org/3/library/logging.html
        [sdk_logging_docs]: https://docs.microsoft.com/azure/developer/python/azure-sdk-logging
        [azure_core_readme]: https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/core/azure-core/README.md
        [pip_link]: https://pypi.org/project/pip/
        [azure_core_ref_docs]: https://aka.ms/azsdk-python-core-policies
        [azure_core]: https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/core/azure-core/README.md
        [azure_identity]: https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/identity/azure-identity
        [python_logging]: https://docs.python.org/3/library/logging.html
        [cla]: https://cla.microsoft.com
        [code_of_conduct]: https://opensource.microsoft.com/codeofconduct/
        [coc_faq]: https://opensource.microsoft.com/codeofconduct/faq/
        [coc_contact]: mailto:opencode@microsoft.com
        
        
        # Release History
        
        ## 0.1.0b6
        
        ### Features Added
        
        - Support for AutoML Component
        - Added skip_validation for Job/Component create_or_update
        
        ### Breaking Changes
        
        - Dataset removed from public interface.
        
        ### Bugs Fixed
        
        - Fixed mismatch errors when updating scale_settings for KubernetesOnlineDeployment.
        - Removed az CLI command that was printed when deleting OnlineEndpoint
        
        ### Other Changes
        
        ## 0.1.0b5 (2022-07-15)
        
        ### Features Added
        
        - Allow Input/Output objects to be used by CommandComponent.
        - Added MoonCake cloud support.
        - Unified inputs/outputs building and validation logic in BaseNode.
        - Allow Git repo URLs to be used as code for jobs and components.
        - Updated AutoML YAML schema to use InputSchema.
        - Added end_time to job schedule.
        - MIR and pipeline job now support registry assets.
        
        ### Breaking Changes
        
        ### Bugs Fixed
        
        - Have mldesigner use argparser to parse incoming args.
        - Bumped pyjwt version to <3.0.0.
        - Reverted "upload support for symlinks".
        - Error message improvement when a YAML UnionField fails to match.
        - Reintroduced support for symlinks when uploading.
        - Hard coded registry base URL to eastus region to support preview.
        
        ## 0.1.0b4 (2022-06-16)
        
        ## 0.1.0b3 (2022-05-24)
        
        ### Features Added
        
        - First preview.
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: MIT License
Requires-Python: <4.0,>=3.6
Description-Content-Type: text/markdown
Provides-Extra: designer
