REST (REpresentational State Transfer) is a protocol that establishes the communication between applications over HTTP (Hypertext Transfer Protocol). Through REST the connections between apps are quick, efficient and loosely coupled. Although REST does not determine data formats, it is a useful way to exchange documents between the client and the server.
REST is easily set up. The server stores data and transfers object states to the client. The client retrieves and stores data and can update the states provided by the server. REST will create, retrieve, update and delete data. Data state is transferred between the applications. REST is a popular tool present in web applications in all devices. It makes the most of connection and synchronizing state between client and server, especially when the app has a great volume of users. The client must be aware of the eventual issues of synchronization with the server.
Zyla Labs offers a REST API is a useful tool for object state exchange. On adding, removing, updating and retrieving data, it uses HTTP approaches and response codes to specify operations and results. It is the common universal communication of the current and always evolving network. It applies to browsers, phones and internet of smart things devices.
OML (Oracle Machine Learning) provides analytical solutions by means of a handy, collaborative interface for various users, admitting all types of technology, interpreters and database management. It is an interface demanding no user code which improves productivity of data scientist and allows access of inexperienced users to algorithms that will classify and regress data.
OML allows users to explore and prepare data in-database computation, and to build, evaluate and deploy ML models. It supports gradual in-database ML algorithms and will even predict results. What makes Oracle Database outstanding is its use on premises, as it is an autonomous database. It reduces time in deploying and managing native models, both within and outside Oracle Autonomous Database. It makes available for developers to integrate REST endpoints easily and efficiently.
OML shortens times in deploying and managing native in-database models, as well as model classification and regression outside Oracle Autonomous Database. App developers have easy access to REST endpoints. It is also useful for data scientists who will be able to deploy integrated model from OML User Interface.
OML admits an extension for data scientists and citizen data scientists, which allows them to gauge and manage data, build and confront multiple ML models, predict results and speed up the deployment of models. It also provides highly operative ML algorithms for data scientists and app developers that will enable them to deploy ML models. Zyla offers a suite of APIs to render and favour REST for Oracle ML, namely Keyword Extractor API, Keyword Extractor API REST API and Relevant Words Extractor API.
The REST API for OML services renders REST API endpoints found in Oracle Autonomous Database. With such endpoints you can store ML models together with their metadata, as well as to create scoring endpoints for the model. The user and developer can build classification or regression models by means of several tools provided. Likewise, OML Services enriches the cognitive text potential of the user with the potential to discover topic, keywords, summary, sentiment, and even for extracting feature. It operates in various languages, namely English, Spanish, French and Italian which are the most largely spoken. The API can also provide a scoring function from images or tensors.
REST API for Oracle Machine Learning services complements the functionality of OML. Both are useful by themselves, and make the most of them together.