Develop ML Models in Synapse without Azure ML

Question

Azure ML and Azure Devops are not white listed in my organisation and i'm relying on Synapse ML libraries to develop ML Models. Is there a way, i can deploy model manually as a web service using Synapse Notebooks, without relying on Azure ML or Azure DevOps?

Answer 1

Hello @Anonymous ,

Thanks for the question and using MS Q&A platform.

Unfortuantely, you cannot deploy model manually as a web service using Synapse Notebooks, without relying on Azure ML or Azure DevOps.

Note: You can use Apache Spark MLlib to create a machine learning application that does simple predictive analysis on an Azure open dataset. Spark provides built-in machine learning libraries.

Machine learning models can be trained with help from various algorithms and libraries. Spark MLlib offers scalable machine learning algorithms that can help solving most classical machine learning problems. For a tutorial on how to train a model using MLlib in Synapse, see Build a machine learning app with Apache Spark MLlib and Azure Synapse Analytics.

SparkML and MLlib are core Spark libraries that provide many utilities that are useful for machine learning tasks, including utilities that are suitable for:

• Classification
• Regression
• Clustering
• Topic modeling
• Singular value decomposition (SVD) and principal component analysis (PCA)
• Hypothesis testing and calculating sample statistics

For more details, refer to Tutorial: Build a machine learning app with Apache Spark MLlib and Azure Synapse Analytics.

Hope this will help. Please let us know if any further queries.

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