
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.
Product Overview
Autocode Text To Java Code Recommender takes a code related user text query as input and returns 3 optimal Java code recommendations from Github that will be syntactically and semantically correct. Considering the ever increasing number of programming languages and the frameworks that are built around them, it is very difficult to be technically fluent in all of them. Another challenge is the amount of code development time and effort spent on looking up efficient solutions to solve a problem. This solution helps in addressing these practical problems faced by the developer community.
Key Data
Version | |
By | Mphasis |
Categories | |
Type | Model Package |
Fulfillment Methods | Amazon SageMaker
|
Usage Information
Fulfillment Methods
Amazon SageMaker
Additional Resources
End User License Agreement
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Support Information
Autocode Java Code Recommender
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https://www2.mphasis.com/AWS-Marketplace-Support-LP.htmlAWS Infrastructure
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Refund Policy
Currently we do not support refunds, but you can cancel your subscription to the service at any time.