Skip to content

Latest commit

 

History

History
37 lines (29 loc) · 1.94 KB

suffix.md

File metadata and controls

37 lines (29 loc) · 1.94 KB

What are the list of features?

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)

Contributing

We welcome contributions and suggestions! Please see the contributing guidelines for details.

Code of Conduct

This project has adopted the Microsoft Open Source Code of Conduct. Please see the code of conduct for details.

Reference