mldesigner


Namemldesigner JSON
Version 0.1.0b2 PyPI version JSON
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home_pagehttps://github.com/Azure/azureml-examples/tree/sdk-preview/sdk/jobs/pipelines
SummaryAzure Machine Learning Designer SDK
upload_time2022-05-23 07:43:13
maintainer
docs_urlNone
authorMicrosoft Corporation
requires_python
licenseMIT License
keywords azuremachinelearning
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # Azure Machine Learning Designer Python SDK

The `mldesigner` package provide the SDK interface which work along with Azure ML Designer (drag-n-drop ML) UI experience.

- [Azure ML Designer (drag-n-drop ML)](https://docs.microsoft.com/en-us/azure/machine-learning/concept-designer): designer is a UI tool in the Azure ML workspace for visually connecting datasets and components on an interactive canvas to create machine learning pipelines. To learn how to get started with the designer, see [Tutorial: Predict automobile price with the designer](https://docs.microsoft.com/en-us/azure/machine-learning/tutorial-designer-automobile-price-train-score).


Especially, the package ease the authoring experience of resources like `Components` & `Pipelines`:

- [Components](https://docs.microsoft.com/en-us/azure/machine-learning/concept-component): self-contained piece of code that does one step in a machine learning pipeline: data preprocessing, model training, model scoring, a hyperparameter tuning run, etc. Such that it can be parameterized and then used in different contexts.
- [Pipelines](https://docs.microsoft.com/en-us/azure/machine-learning/concept-ml-pipelines): independently executable workflow of machine learning tasks composed by Components.

            

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    "description": "# Azure Machine Learning Designer Python SDK\n\nThe `mldesigner` package provide the SDK interface which work along with Azure ML Designer (drag-n-drop ML) UI experience.\n\n- [Azure ML Designer (drag-n-drop ML)](https://docs.microsoft.com/en-us/azure/machine-learning/concept-designer): designer is a UI tool in the Azure ML workspace for visually connecting datasets and components on an interactive canvas to create machine learning pipelines. To learn how to get started with the designer, see [Tutorial: Predict automobile price with the designer](https://docs.microsoft.com/en-us/azure/machine-learning/tutorial-designer-automobile-price-train-score).\n\n\nEspecially, the package ease the authoring experience of resources like `Components` & `Pipelines`:\n\n- [Components](https://docs.microsoft.com/en-us/azure/machine-learning/concept-component): self-contained piece of code that does one step in a machine learning pipeline: data preprocessing, model training, model scoring, a hyperparameter tuning run, etc. Such that it can be parameterized and then used in different contexts.\n- [Pipelines](https://docs.microsoft.com/en-us/azure/machine-learning/concept-ml-pipelines): independently executable workflow of machine learning tasks composed by Components.\n",
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