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Spring Boot is a convention-over-configuration extension for the Spring Java platform intended to help minimize configuration concerns while creating Spring-based applications. [ 4 ] [ 5 ] The application can still be adjusted for specific needs, but the initial Spring Boot project provides a preconfigured "opinionated view" of the best ...
Data type validation is customarily carried out on one or more simple data fields. The simplest kind of data type validation verifies that the individual characters provided through user input are consistent with the expected characters of one or more known primitive data types as defined in a programming language or data storage and retrieval ...
Data reconciliation is a technique that targets at correcting measurement errors that are due to measurement noise, i.e. random errors.From a statistical point of view the main assumption is that no systematic errors exist in the set of measurements, since they may bias the reconciliation results and reduce the robustness of the reconciliation.
The Spring Data JPA is an implementation of the repository abstraction that is a key building block of domain-driven design based on the Java application framework Spring. It transparently supports all available JPA implementations and supports CRUD operations as well as the convenient execution of database queries.
Spring Boot Extension is Spring's convention-over-configuration solution for creating stand-alone, production-grade [100] Spring-based Applications that you can "just run". [101] It is preconfigured with the Spring team's "opinionated view" [ 102 ] [ 103 ] of the best configuration and use of the Spring platform and third-party libraries so you ...
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
A checksum is a small-sized block of data derived from another block of digital data for the purpose of detecting errors that may have been introduced during its transmission or storage. By themselves, checksums are often used to verify data integrity but are not relied upon to verify data authenticity. [1]
Spring Boot (version 1.4 or above) Spring Data JPA (version 1.10 or above) Spring Framework (version 4 or above) Spring Security (version 4 or above) Spring Web Flow (installation and flow definition) SpringSource Tool Suite (STS has an embedded Roo shell and Roo command helpers) Thymeleaf (version 3 or above)