Algorithm & component reference for Azure Machine Learning designer (v2)

APPLIES TO: Python SDK azure-ai-ml v2 (current)

• v1
• v2 (current version)

Azure Machine Learning designer components (Designer) allow users to create machine learning projects using a drag and drop interface. Follow this link to reach the Designer studio. Follow this link to learn more about Designer.

This reference content provides background on each of the custom components (v2) available in Azure Machine Learning designer.

You can navigate to Custom components in Azure Machine Learning Studio as shown in the following image.

Each component represents a set of code that can run independently and perform a machine learning task, given the required inputs. A component might contain a particular algorithm, or perform a task that is important in machine learning, such as missing value replacement, or statistical analysis.

For help with choosing algorithms, see

• How to select algorithms

Tip

In any pipeline in the designer, you can get information about a specific component. Select the Learn more link in the component card when hovering on the component in the component list, or in the right pane of the component.

AutoML Algorithms

Functionality	Description	component
Classification	Component that kicks off an AutoML job to train a classification model within an Azure Machine Learning pipeline	AutoML Classification
Regression	Component that kicks off an AutoML job to train a regression model within an Azure Machine Learning pipeline.	AutoML Regression
Forecasting	Component that kicks off an AutoML job to train a forecasting model within an Azure Machine Learning pipeline.	AutoML Forecasting
Image Classification	Component that kicks off an AutoML job to train an image classification model within an Azure Machine Learning pipeline	Image Classification
Multilabel Image Classification	Component that kicks off an AutoML job to train a multilabel image classification model within an Azure Machine Learning pipeline	Image Classification Multilabel
Image Object Detection	Component that kicks off an AutoML job to train an image object detection model within an Azure Machine Learning pipeline	Image Object Detection
Image Instance Segmentation	Component that kicks off an AutoML job to train an image instance segmentation model within an Azure Machine Learning pipeline	Image Instance Segmentation
Multilabel Text Classification	Component that kicks off an AutoML job to train a multilabel NLP text classification model within an Azure Machine Learning pipeline.	AutoML Multilabel Text Classification
Text Classification	Component that kicks off an AutoML job to train an NLP text classification model within an Azure Machine Learning pipeline.	AutoML Text Classification
Text Ner	Component that kicks off an AutoML job to train an NLP NE (Named Entity Recognition) model within an Azure Machine Learning pipeline.	AutoML Text Ner

Next steps

• Tutorial: Build a model in designer to predict auto prices